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ICML '99 PowerPoint PPT Presentation
ICML '99 - Tutorials are November 29 - December 2, 1999 in Denver, Colorado. Main conference is November 30 - December 2, 1999 in Denver, Colorado ...
Tutorials are November 29 - December 2, 1999 in Denver, Colorado. Main conference is November 30 - December 2, 1999 in Denver, Colorado ...
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ICML PowerPoint PPT Presentation
ICML - ICML 11 Tutorial: Recommender Problems for Web Applications Deepak Agarwal and Bee-Chung Chen Yahoo! Research Other Significant Y! Labs Contributors Content ...
ICML 11 Tutorial: Recommender Problems for Web Applications Deepak Agarwal and Bee-Chung Chen Yahoo! Research Other Significant Y! Labs Contributors Content ...
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Weighted Low-Rank Approximation Nathan Srebro and Tommi Jaakkola ICML 2003 PowerPoint PPT Presentation
Weighted Low-Rank Approximation Nathan Srebro and Tommi Jaakkola ICML 2003 - Title: A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation, F. Wood and Y.W. Teh Last modified by: Mingyuan Zhou
Title: A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation, F. Wood and Y.W. Teh Last modified by: Mingyuan Zhou
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A Guided Tour of Finite Mixture Models: From Pearson to the Web ICML PowerPoint PPT Presentation
A Guided Tour of Finite Mixture Models: From Pearson to the Web ICML - general framework for likelihood-based parameter estimation with missing data ... to a (local) maximum of likelihood. Estep and Mstep are often computationally ...
general framework for likelihood-based parameter estimation with missing data ... to a (local) maximum of likelihood. Estep and Mstep are often computationally ...
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Decision Trees with Minimal Costs (ICML 2004, Banff, Canada) PowerPoint PPT Presentation
Decision Trees with Minimal Costs (ICML 2004, Banff, Canada) - Decision Trees with Minimal Costs (ICML 2004, Banff, Canada) ... Most inductive learning algorithms: minimizing classification errors ...
Decision Trees with Minimal Costs (ICML 2004, Banff, Canada) ... Most inductive learning algorithms: minimizing classification errors ...
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ICML%202001%20Conditional%20Random%20Fields:%20Probabilistic%20Models%20for%20Segmenting%20and%20Labeling%20Sequence%20Data PowerPoint PPT Presentation
ICML%202001%20Conditional%20Random%20Fields:%20Probabilistic%20Models%20for%20Segmenting%20and%20Labeling%20Sequence%20Data - In the training data, label value 2 is the only label value observed after label ... MEMM fails to discriminate between the two branches. CRF solves label bias problem ...
In the training data, label value 2 is the only label value observed after label ... MEMM fails to discriminate between the two branches. CRF solves label bias problem ...
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ICML 2001 Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data PowerPoint PPT Presentation
ICML 2001 Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data - Text and speech processing, including topic segmentation, part-of-speech ... Prelude the use of prior, which is very valuable (e.g. in information extraction) ...
Text and speech processing, including topic segmentation, part-of-speech ... Prelude the use of prior, which is very valuable (e.g. in information extraction) ...
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Discriminative Structure and Parameter Learning for Markov Logic Networks PowerPoint PPT Presentation
Discriminative Structure and Parameter Learning for Markov Logic Networks - Discriminative Structure and Parameter Learning for Markov Logic Networks Tuyen N. Huynh and Raymond J. Mooney ICML 08, Helsinki, Finland
Discriminative Structure and Parameter Learning for Markov Logic Networks Tuyen N. Huynh and Raymond J. Mooney ICML 08, Helsinki, Finland
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- Relational - Graphical Models PowerPoint PPT Presentation
- Relational - Graphical Models - Advanced I WS 06/07 Based on Cussens and Kersting s ICML 2004 tutorial, De Raedt and Kersting s ECML/PKDD 2005 tutorial, and Friedman and Koller s
Advanced I WS 06/07 Based on Cussens and Kersting s ICML 2004 tutorial, De Raedt and Kersting s ECML/PKDD 2005 tutorial, and Friedman and Koller s
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Towards a Learning Incident Detection System PowerPoint PPT Presentation
Towards a Learning Incident Detection System - Towards a Learning Incident Detection System. ICML 06 Workshop on Machine ... Joint work with Dr. Milos Hauskrecht. Outline. Replace traffic engineers with ML ...
Towards a Learning Incident Detection System. ICML 06 Workshop on Machine ... Joint work with Dr. Milos Hauskrecht. Outline. Replace traffic engineers with ML ...
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Integrating Constraints and Metric Learning in Semi-Supervised Clustering PowerPoint PPT Presentation
Integrating Constraints and Metric Learning in Semi-Supervised Clustering - Integrating Constraints and Metric Learning in Semi-Supervised Clustering Mikhail Bilenko, Sugato Basu, Raymond J. Mooney ICML 2004 Presented by Xin Li
Integrating Constraints and Metric Learning in Semi-Supervised Clustering Mikhail Bilenko, Sugato Basu, Raymond J. Mooney ICML 2004 Presented by Xin Li
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Random%20Projection%20for%20High%20Dimensional%20Data%20Clustering:%20A%20Cluster%20Ensemble%20Approach PowerPoint PPT Presentation
Random%20Projection%20for%20High%20Dimensional%20Data%20Clustering:%20A%20Cluster%20Ensemble%20Approach - Xiaoli Zhang Fern, Carla E. Brodley. ICML'2003. Presented by Dehong Liu. Contents. Motivation ... The presence of irrelevant and noisy features can mislead the ...
Xiaoli Zhang Fern, Carla E. Brodley. ICML'2003. Presented by Dehong Liu. Contents. Motivation ... The presence of irrelevant and noisy features can mislead the ...
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Collective%20Classification%20%20A%20brief%20overview%20and%20possible%20connections%20to%20email-acts%20classification PowerPoint PPT Presentation
Collective%20Classification%20%20A%20brief%20overview%20and%20possible%20connections%20to%20email-acts%20classification - J. Neville et al., 2003. Relational Data and Collective Classification ... Slattery & Mitchell, ICML-2000;Neville & Jensen, AAAI-2000; Chakrabarti et al. ACM-SIGMOD-98 ...
J. Neville et al., 2003. Relational Data and Collective Classification ... Slattery & Mitchell, ICML-2000;Neville & Jensen, AAAI-2000; Chakrabarti et al. ACM-SIGMOD-98 ...
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Transforming paper documents into XML format: an PowerPoint PPT Presentation
Transforming paper documents into XML format: an - ... href='icml16.XSL' type='text/xsl'? !DOCTYPE icml SYSTEM ' ... Generation of the XML document: the XSL file (eXtensible Style Language) ?xml version='1.0' ...
... href='icml16.XSL' type='text/xsl'? !DOCTYPE icml SYSTEM ' ... Generation of the XML document: the XSL file (eXtensible Style Language) ?xml version='1.0' ...
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Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach PowerPoint PPT Presentation
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach - Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach Xiaoli Zhang Fern, Carla E. Brodley ICML 2003 Presented by Dehong Liu
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach Xiaoli Zhang Fern, Carla E. Brodley ICML 2003 Presented by Dehong Liu
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Hierarchical Document Clustering Using Frequent Itemsets PowerPoint PPT Presentation
Hierarchical Document Clustering Using Frequent Itemsets - ( apple, boy, cat, window ) doc1 = ( 5, 2, 7, 0 ) doc2 = ( 4, 0, 0, 3 ) ... In D. Fisher, editor, Proceedings of (ICML) 97, 14th International Conference on ...
( apple, boy, cat, window ) doc1 = ( 5, 2, 7, 0 ) doc2 = ( 4, 0, 0, 3 ) ... In D. Fisher, editor, Proceedings of (ICML) 97, 14th International Conference on ...
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Graph-Based Methods for PowerPoint PPT Presentation
Graph-Based Methods for - Start with seeds: 'NIPS', 'ICML' Look thru a corpus for certain patterns: ... 'at NIPS, AISTATS, KDD and other learning ... In NIPS, 2005. Wrapper Length ...
Start with seeds: 'NIPS', 'ICML' Look thru a corpus for certain patterns: ... 'at NIPS, AISTATS, KDD and other learning ... In NIPS, 2005. Wrapper Length ...
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Review of : Yoav Freund, and Robert E. Schapire, PowerPoint PPT Presentation
Review of : Yoav Freund, and Robert E. Schapire, - Review of : Yoav Freund, and Robert E. Schapire, 'A Short Introduction to ... Michael Collins, Discriminative Reranking for Natural Language Parsing, ICML 2000 ...
Review of : Yoav Freund, and Robert E. Schapire, 'A Short Introduction to ... Michael Collins, Discriminative Reranking for Natural Language Parsing, ICML 2000 ...
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X-means: Extending K-means with Efficient Estimation of the Number of Clusters PowerPoint PPT Presentation
X-means: Extending K-means with Efficient Estimation of the Number of Clusters - ... Extending K-means with Efficient Estimation of the Number of Clusters. Dan Phelleg, Andrew Moore. Carnegie Mellon University. Published: ICML 2000. Presentation by: ...
... Extending K-means with Efficient Estimation of the Number of Clusters. Dan Phelleg, Andrew Moore. Carnegie Mellon University. Published: ICML 2000. Presentation by: ...
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Giving Advice about Preferred Actions to Reinforcement Learners Via KnowledgeBased Kernel Regression PowerPoint PPT Presentation
Giving Advice about Preferred Actions to Reinforcement Learners Via KnowledgeBased Kernel Regression - Giving Advice about Preferred Actions to Reinforcement ... Lagoudakis and Parr, ICML 2003. Current and Future Work. Knowledge transfer via. preference advice ...
Giving Advice about Preferred Actions to Reinforcement ... Lagoudakis and Parr, ICML 2003. Current and Future Work. Knowledge transfer via. preference advice ...
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Hierarchical Classification of Web Content 1 PowerPoint PPT Presentation
Hierarchical Classification of Web Content 1 - Proceedings of the 18th Annual International ACM SIGIR Conference on Research ... Proceedings of the Fourteenth International Conference on Machine Learning (ICML' ...
Proceedings of the 18th Annual International ACM SIGIR Conference on Research ... Proceedings of the Fourteenth International Conference on Machine Learning (ICML' ...
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Final Project- PowerPoint PPT Presentation
Final Project- - To know whether we can eat the mushroom, to survive in the wild ... Iba,W., Wogulis,J., & Langley,P. (1988). ICML, 73-79. 2. No other mushrooms data ...
To know whether we can eat the mushroom, to survive in the wild ... Iba,W., Wogulis,J., & Langley,P. (1988). ICML, 73-79. 2. No other mushrooms data ...
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A Brief History of Data Mining Society PowerPoint PPT Presentation
A Brief History of Data Mining Society - ... ICDE WWW, SIGIR ICML, CVPR, NIPS Journals Data Mining and Knowledge Discovery (DAMI or DMKD) IEEE Trans. On Knowledge and Data Eng. (TKDE) ...
... ICDE WWW, SIGIR ICML, CVPR, NIPS Journals Data Mining and Knowledge Discovery (DAMI or DMKD) IEEE Trans. On Knowledge and Data Eng. (TKDE) ...
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Sep 2003, Chicago,1 PowerPoint PPT Presentation
Sep 2003, Chicago,1 - ... for Statistical Parsing, Michael Collins, Proceedings of the 35th ... Discriminative Reranking for Natural Language Parsing, Michael Collins, ICML (2000) ...
... for Statistical Parsing, Michael Collins, Proceedings of the 35th ... Discriminative Reranking for Natural Language Parsing, Michael Collins, ICML (2000) ...
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Conditional Structure versus Conditional Estimation in NLP Models and a little about Conditional Ran PowerPoint PPT Presentation
Conditional Structure versus Conditional Estimation in NLP Models and a little about Conditional Ran - (and a little about Conditional Random Fields) John Lafferty et al. ICML 2001 ... Why conditional model performs better? ... Conditional Likelihood. More training time ...
(and a little about Conditional Random Fields) John Lafferty et al. ICML 2001 ... Why conditional model performs better? ... Conditional Likelihood. More training time ...
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Information Theoretic Measures for Clusterings Comparison: Is a PowerPoint PPT Presentation
Information Theoretic Measures for Clusterings Comparison: Is a - James Bailey, Uni Melbourne. Australia's ICT Research Centre of Excellence. ICML'09 ... What are the differences between the ARI and the AMI? ...
James Bailey, Uni Melbourne. Australia's ICT Research Centre of Excellence. ICML'09 ... What are the differences between the ARI and the AMI? ...
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Frequent Patterns I PowerPoint PPT Presentation
Frequent Patterns I - AI & Machine Learning. Conferences: Machine learning (ICML), AAAI, IJCAI, COLT ... Conference proceedings: CHI, ACM-SIGGraph, etc. Journals: IEEE Trans. ...
AI & Machine Learning. Conferences: Machine learning (ICML), AAAI, IJCAI, COLT ... Conference proceedings: CHI, ACM-SIGGraph, etc. Journals: IEEE Trans. ...
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Linear Programming Boosting for Uneven Datasets PowerPoint PPT Presentation
Linear Programming Boosting for Uneven Datasets - Recall = TP / (TP FN) F1 = 2Prec Rec / (Prec Rec) ICML ... CARCASS (50) 30: beef, pork, meat, dollar, chicago. SOY-MEAL (13) 3: meal, soymeal, soybean ...
Recall = TP / (TP FN) F1 = 2Prec Rec / (Prec Rec) ICML ... CARCASS (50) 30: beef, pork, meat, dollar, chicago. SOY-MEAL (13) 3: meal, soymeal, soybean ...
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Learning Large Margin Classifiers Locally and Globally PowerPoint PPT Presentation
Learning Large Margin Classifiers Locally and Globally - Department of Computer Science and Engineering. The Chinese University of Hong Kong, ... of C.S. & E., The Chinese University of Hong Kong. ICML 2004, Banff, ...
Department of Computer Science and Engineering. The Chinese University of Hong Kong, ... of C.S. & E., The Chinese University of Hong Kong. ICML 2004, Banff, ...
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Gene Regulation PowerPoint PPT Presentation
Gene Regulation - Genes that are similar expressed are often coregulated and ... KDDCup 200 (www.gazelle.com) RMM over [Anderson et al.] ICML-Tutorial, Banff, Canada, 2004 ...
Genes that are similar expressed are often coregulated and ... KDDCup 200 (www.gazelle.com) RMM over [Anderson et al.] ICML-Tutorial, Banff, Canada, 2004 ...
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Reviews PowerPoint PPT Presentation
Reviews - ICML'2003 Minitutorial on Research, Riting, and Reviews. 11/18/09 ... PAPER TYPE: Is it a - First step (opens a new area) - Last step (closes an important area) ...
ICML'2003 Minitutorial on Research, Riting, and Reviews. 11/18/09 ... PAPER TYPE: Is it a - First step (opens a new area) - Last step (closes an important area) ...
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Visualizing Weblog Term Spaces PowerPoint PPT Presentation
Visualizing Weblog Term Spaces - Based on these results, we created a co-citation matrix C, where C(x,y)=1 means ... Fourteenth International Conference on Machine Learning (ICML'97), pp. 412 ...
Based on these results, we created a co-citation matrix C, where C(x,y)=1 means ... Fourteenth International Conference on Machine Learning (ICML'97), pp. 412 ...
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Other%20Methods%20and%20Applications%20of%20Deep%20Learning PowerPoint PPT Presentation
Other%20Methods%20and%20Applications%20of%20Deep%20Learning - Other Methods and Applications of Deep Learning
Other Methods and Applications of Deep Learning
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Nightmare at Test Time: Robust Learning by Feature Deletion PowerPoint PPT Presentation
Nightmare at Test Time: Robust Learning by Feature Deletion - Nightmare at Test Time: Robust Learning by Feature Deletion Amir Globerson Computer Science and Articial Intelligence Laboratory, MIT, Cambridge, MA, USA
Nightmare at Test Time: Robust Learning by Feature Deletion Amir Globerson Computer Science and Articial Intelligence Laboratory, MIT, Cambridge, MA, USA
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Topic Models PowerPoint PPT Presentation
Topic Models - Topic models tools for automatically organizing, ... This process assumes that images (documents) are drawn exchangeably from the same set of topics. ...
Topic models tools for automatically organizing, ... This process assumes that images (documents) are drawn exchangeably from the same set of topics. ...
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Graph Mining Applications in Machine Learning Problems PowerPoint PPT Presentation
Graph Mining Applications in Machine Learning Problems - Graph Mining Applications in Machine Learning Problems Max Planck Institute for Biological Cybernetics Koji Tsuda
Graph Mining Applications in Machine Learning Problems Max Planck Institute for Biological Cybernetics Koji Tsuda
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About summer seminar PowerPoint PPT Presentation
About summer seminar - About summer seminar Discriminative vs. generative learning Summer Seminar Information Schedule, s, and related information relocated at: URL: http://enpub.eas ...
About summer seminar Discriminative vs. generative learning Summer Seminar Information Schedule, s, and related information relocated at: URL: http://enpub.eas ...
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Fast Algorithms for Querying and Mining Large Graphs PowerPoint PPT Presentation
Fast Algorithms for Querying and Mining Large Graphs - www.cs.cmu.edu
www.cs.cmu.edu
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Semi-Supervised Learning Using Randomized Mincuts PowerPoint PPT Presentation
Semi-Supervised Learning Using Randomized Mincuts - Semi-Supervised Learning Using Randomized Mincuts Avrim Blum, John Lafferty, Raja Reddy, Mugizi Rwebangira Carnegie Mellon Motivation Often have little labeled data ...
Semi-Supervised Learning Using Randomized Mincuts Avrim Blum, John Lafferty, Raja Reddy, Mugizi Rwebangira Carnegie Mellon Motivation Often have little labeled data ...
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Predictive State Representations PowerPoint PPT Presentation
Predictive State Representations - Online learning of predictive state representations. ... Predictive state representations: A new theory for modeling dynamical systems. ...
Online learning of predictive state representations. ... Predictive state representations: A new theory for modeling dynamical systems. ...
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Recovering Temporally Rewiring Networks: A Model-based Approach PowerPoint PPT Presentation
Recovering Temporally Rewiring Networks: A Model-based Approach - Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing ... High School Dating. The Internet. Physicist Collaborations ... Protein-Protein Interaction Network in S. cerevisiae ...
Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing ... High School Dating. The Internet. Physicist Collaborations ... Protein-Protein Interaction Network in S. cerevisiae ...
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Change Detection in Data Streams by Testing Exchangeability PowerPoint PPT Presentation
Change Detection in Data Streams by Testing Exchangeability - Change Detection in Data Streams by Testing Exchangeability Shen-Shyang Ho JPL/Caltech The research is part of the author s PhD dissertation (in computer science ...
Change Detection in Data Streams by Testing Exchangeability Shen-Shyang Ho JPL/Caltech The research is part of the author s PhD dissertation (in computer science ...
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Active Learning COMS 6998-4: Learning and Empirical Inference PowerPoint PPT Presentation
Active Learning COMS 6998-4: Learning and Empirical Inference - Given m labeled points, want to learn a classifier with misclassification rate ... Synthetic instances created were incomprehensible to humans! ...
Given m labeled points, want to learn a classifier with misclassification rate ... Synthetic instances created were incomprehensible to humans! ...
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Optimization With Parity Constraints: From Binary Codes to Discrete Integration PowerPoint PPT Presentation
Optimization With Parity Constraints: From Binary Codes to Discrete Integration - OPTIMIZATION WITH PARITY CONSTRAINTS: FROM BINARY CODES TO DISCRETE INTEGRATION Stefano Ermon*, Carla P. Gomes*, Ashish Sabharwal+, and Bart Selman*
OPTIMIZATION WITH PARITY CONSTRAINTS: FROM BINARY CODES TO DISCRETE INTEGRATION Stefano Ermon*, Carla P. Gomes*, Ashish Sabharwal+, and Bart Selman*
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Feature Selection and Its Application in Genomic Data Analysis March 9, 2004 PowerPoint PPT Presentation
Feature Selection and Its Application in Genomic Data Analysis March 9, 2004 - Increasing predicative accuracy. Reducing complexity of learned results. 4. Problem Statement. A process of selecting a minimum subset of features that is ...
Increasing predicative accuracy. Reducing complexity of learned results. 4. Problem Statement. A process of selecting a minimum subset of features that is ...
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A Martingale Framework for Concept Change Detection in Time-Varying Data Stream PowerPoint PPT Presentation
A Martingale Framework for Concept Change Detection in Time-Varying Data Stream - A Martingale Framework for Concept Change Detection in Time-Varying Data Stream Ho Shen-Shyang sho@gmu.edu Department of Computer Science George Mason University
A Martingale Framework for Concept Change Detection in Time-Varying Data Stream Ho Shen-Shyang sho@gmu.edu Department of Computer Science George Mason University
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Semisupervised Learning PowerPoint PPT Presentation
Semisupervised Learning - Ontology. Why semi-supervised clustering? Why not clustering? ... Ontology based semi-supervised clustering 'A framework for ontology-driven ...
Ontology. Why semi-supervised clustering? Why not clustering? ... Ontology based semi-supervised clustering 'A framework for ontology-driven ...
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UCR CS 260: SEMINAR IN COMPUTER SCIENCE PowerPoint PPT Presentation
UCR CS 260: SEMINAR IN COMPUTER SCIENCE - UCR CS 260: SEMINAR IN COMPUTER SCIENCE 9:40 a.m. - 11:00 a.m. CHUNG 139 Winston Chung Hall (CHUNG) Eamonn Keogh Computer Science & Engineering Department
UCR CS 260: SEMINAR IN COMPUTER SCIENCE 9:40 a.m. - 11:00 a.m. CHUNG 139 Winston Chung Hall (CHUNG) Eamonn Keogh Computer Science & Engineering Department
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Selected Applications of Transfer Learning PowerPoint PPT Presentation
Selected Applications of Transfer Learning - Selected Applications of Transfer Learning Qiang Yang Department of Computer Science and Engineering The Hong Kong University of Science and Technology
Selected Applications of Transfer Learning Qiang Yang Department of Computer Science and Engineering The Hong Kong University of Science and Technology
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Learning sparse representations to restore, classify, and sense images and videos PowerPoint PPT Presentation
Learning sparse representations to restore, classify, and sense images and videos - Learning sparse representations to restore, classify, and sense images and videos
Learning sparse representations to restore, classify, and sense images and videos
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A Theory of Learning and Clustering via Similarity Functions PowerPoint PPT Presentation
A Theory of Learning and Clustering via Similarity Functions - New Theoretical Frameworks and Algorithms for Key Problems in ... Predict SPAM if unknown AND (money OR pills) Predict SPAM if 2money 3pills 5 known 0 ...
New Theoretical Frameworks and Algorithms for Key Problems in ... Predict SPAM if unknown AND (money OR pills) Predict SPAM if 2money 3pills 5 known 0 ...
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SemiSupervised Learning Using Label Mean PowerPoint PPT Presentation
SemiSupervised Learning Using Label Mean - Semi-Supervised Learning Using. Label Mean. Yu-Feng Li1, James T. Kwok2, Zhi-Hua Zhou1 ... Medical image segmentation [Grady & Funka-Lea, ECCV'04] ...
Semi-Supervised Learning Using. Label Mean. Yu-Feng Li1, James T. Kwok2, Zhi-Hua Zhou1 ... Medical image segmentation [Grady & Funka-Lea, ECCV'04] ...
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