Search results for "Russell Greiner"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Ashkan Zarnani, Petr Musílek, Xiaoyu Shi, Xiaodi Ke, Hua He, Russell Greiner	Learning to predict ice accretion on electric power lines.	Eng. Appl. of AI	2012	DBLP DOI BibTeX RDF
1	Baidya Nath Saha, Nilanjan Ray, Russell Greiner, Albert Murtha, Hong Zhang	Quick detection of brain tumors and edemas: A bounding box method using symmetry.	Comp. Med. Imag. and Graph.	2012	DBLP DOI BibTeX RDF
1	Davoud Moulavi, Mohsen Hajiloo, Jörg Sander, Philip F. Halloran, Russell Greiner	Combining gene expression and interaction network data to improve kidney lesion score prediction.	IJBRA	2012	DBLP DOI BibTeX RDF
1	Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Amri Napolitano	Using Classifier-Based Nominal Imputation to Improve Machine Learning.	PAKDD	2011	DBLP DOI BibTeX RDF
1	Oliver Schulte, Wei Luo, Russell Greiner	Mind change optimal learning of Bayes net structure from dependency and independency data.	Inf. Comput.	2010	DBLP DOI BibTeX RDF
1	Liuyang Li, Barnabás Póczos, Csaba Szepesvári, Russell Greiner	Budgeted Distribution Learning of Belief Net Parameters.	ICML	2010	DBLP BibTeX RDF
1	Oliver Schulte, Gustavo Frigo, Russell Greiner, Hassan Khosravi	The IMAP Hybrid Method for Learning Gaussian Bayes Nets.	Canadian Conference on AI	2010	DBLP DOI BibTeX RDF
1	Siamak (Moshen) Ravanbakhsh, Barnabás Póczos, Russell Greiner	A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra.	AAAI	2010	DBLP BibTeX RDF
1	Babak Bostan, Russell Greiner, Duane Szafron, Paul Lu	Predicting homologous signaling pathways using machine learning.	Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner	Making an accurate classifier ensemble by voting on classifications from imputed learning sets.	IJIDS	2009	DBLP DOI BibTeX RDF
1	David S. Wishart, Craig Knox, Anchi Guo, Roman Eisner, Nelson Young, Bijaya Gautam, David D. Hau, Nick Psychogios, Edison Dong, Souhaila Bouatra, Rupasri Mandal, Igor Sinelnikov, Jianguo Xia, Leslie Jia, Joseph A. Cruz, Emilia Lim, Constance A. Sobsey, Savita Shrivastava, Paul Huang, Philip Liu, Lydia Fang, Jun Peng, Ryan Fradette, Dean Cheng, Dan Tzur, Melisa Clements, Avalyn Lewis, Andrea De Souza, Azaret Zuniga, Margot Dawe, Yeping Xiong, Derrick Clive, Russell Greiner, Alsu Nazyrova, Rustem Shaykhutdinov, Liang Li, Hans J. Vogel, Ian J. Forsythe	HMDB: a knowledgebase for the human metabolome.	Nucleic Acids Research	2009	DBLP DOI BibTeX RDF
1	Tingshao Zhu, Russell Greiner, Bin Hu	LILAC - Learn from Internet: Log, Annotation, and Content.	AAAI Spring Symposium: Experimental Design for Real-World Systems	2009	DBLP BibTeX RDF
1	Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi	A new hybrid method for Bayesian network learning With dependency constraints.	CIDM	2009	DBLP DOI BibTeX RDF
1	Barnabás Póczos, Yasin Abbasi-Yadkori, Csaba Szepesvári, Russell Greiner, Nathan R. Sturtevant	Learning when to stop thinking and do something!	ICML	2009	DBLP DOI BibTeX RDF
1	Alireza Farhangfar, Russell Greiner, Csaba Szepesvári	Learning to segment from a few well-selected training images.	ICML	2009	DBLP DOI BibTeX RDF
1	Peter Hooper, Yasin Abbasi-Yadkori, Russell Greiner, Bret Hoehn	Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling.	UAI	2009	DBLP BibTeX RDF
1	Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner	VipBoost: A More Accurate Boosting Algorithm.	FLAIRS Conference	2009	DBLP BibTeX RDF
1	Aliaksei Kerhet, Cormac Small, Harvey Quon, Terence Riauka, Russell Greiner, Alexander McEwan, Wilson Roa	Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach.	AIME	2009	DBLP DOI BibTeX RDF	Radiation Treatment, Gross Tumour Volume (GTV), Support Vector Machine (SVM), Positron Emission Tomography (PET), Lung Cancer
1	Ilya Levner, Hong Zhang, Russell Greiner	Heterogeneous Stacking for Classification-Driven Watershed Segmentation.	EURASIP J. Adv. Sig. Proc.	2008	DBLP DOI BibTeX RDF
1	Alona Fyshe, Yifeng Liu, Duane Szafron, Russell Greiner, Paul Lu	Improving subcellular localization prediction using text classification and the gene ontology.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Chi-Hoon Lee, Osmar R. Zaïane, Ho-Hyun Park, Jiayuan Huang, Russell Greiner	Clustering high dimensional data: A graph-based relaxed optimization approach.	Inf. Sci.	2008	DBLP DOI BibTeX RDF
1	Tim Van Allen, Ajit Singh, Russell Greiner, Peter Hooper	Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference.	Artif. Intell.	2008	DBLP DOI BibTeX RDF
1	Alejandro Isaza, Jieshan Lu, Vadim Bulitko, Russell Greiner	A Cover-Based Approach to Multi-Agent Moving Target Pursuit.	AIIDE	2008	DBLP BibTeX RDF
1	Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner	Imputation-boosted collaborative filtering using machine learning classifiers.	SAC	2008	DBLP DOI BibTeX RDF	imputation techniques, machine learning classifiers, recommendation systems, collaborative filtering, incomplete data
1	Ilya Levner, Russell Greiner, Hong Zhang	Supervised image segmentation via ground truth decomposition.	ICIP	2008	DBLP DOI BibTeX RDF
1	Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner	Imputed Neighborhood Based Collaborative Filtering.	Web Intelligence	2008	DBLP DOI BibTeX RDF
1	Alireza Farhangfar, Russell Greiner, Martin Zinkevich	A Fast Way to Produce Optimal Fixed-Depth Decision Trees.	ISAIM	2008	DBLP BibTeX RDF
1	John Lees-Miller, Fraser Anderson, Bret Hoehn, Russell Greiner	Does Wikipedia Information Help Netflix Predictions?	ICMLA	2008	DBLP DOI BibTeX RDF
1	Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matthew R. G. Brown, Russell Greiner	Segmenting Brain Tumors Using Pseudo-Conditional Random Fields.	MICCAI	2008	DBLP DOI BibTeX RDF
1	Alejandro Isaza, Csaba Szepesvári, Vadim Bulitko, Russell Greiner	Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction.	UAI	2008	DBLP BibTeX RDF
1	Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner	Using Imputation Techniques to Help Learn Accurate Classifiers.	ICTAI	2008	DBLP DOI BibTeX RDF
1	Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner	A Mixture Imputation-Boosted Collaborative Filter.	FLAIRS Conference	2008	DBLP BibTeX RDF
1	Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner, Shaojun Wang, Albert Murtha	Constrained Classification on Structured Data.	AAAI	2008	DBLP BibTeX RDF
1	Lihong Li, Vadim Bulitko, Russell Greiner	Focus of Attention in Reinforcement Learning.	J. UCS	2007	DBLP BibTeX RDF
1	David S. Wishart, Dan Tzur, Craig Knox, Roman Eisner, Anchi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian J. Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David D. Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E. Duggan, Glen D. MacInnis, Alim M. Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russell Greiner, Liang Li, Tom Marrie, Brian D. Sykes, Hans J. Vogel, Lori Querengesser	HMDB: the Human Metabolome Database.	Nucleic Acids Research	2007	DBLP DOI BibTeX RDF
1	David S. Wishart, Russell Greiner	Session Introduction.	Pacific Symposium on Biocomputing	2007	DBLP BibTeX RDF
1	Yuhong Guo, Russell Greiner	Optimistic Active-Learning Using Mutual Information.	IJCAI	2007	DBLP BibTeX RDF
1	Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Xingquan Zhu	Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts.	Web Intelligence	2007	DBLP DOI BibTeX RDF
1	Oliver Schulte, Wei Luo, Russell Greiner	Mind Change Optimal Learning of Bayes Net Structure.	COLT	2007	DBLP DOI BibTeX RDF
1	Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt	Learning a Classification-based Glioma Growth Model Using MRI Data.	JCP	2006	DBLP DOI BibTeX RDF
1	Russell Greiner, Ryan Hayward, Magdalena Jankowska, Michael Molloy	Finding optimal satisficing strategies for and-or trees.	Artif. Intell.	2006	DBLP DOI BibTeX RDF
1	Luca Pireddu, Duane Szafron, Paul Lu, Russell Greiner	The Path-A metabolic pathway prediction web server.	Nucleic Acids Research	2006	DBLP DOI BibTeX RDF
1	Chi-Hoon Lee, Russell Greiner, Osmar R. Zaïane	Efficient Spatial Classification Using Decoupled Conditional Random Fields.	PKDD	2006	DBLP DOI BibTeX RDF
1	Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans	Information Marginalization on Subgraphs.	PKDD	2006	DBLP DOI BibTeX RDF
1	Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans	Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling.	ACL	2006	DBLP BibTeX RDF
1	Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner	Learning Policies for Efficiently Identifying Objects of Many Classes.	ICPR	2006	DBLP DOI BibTeX RDF
1	Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner	Learning to Identify Facial Expression During Detection Using Markov Decision Process.	FG	2006	DBLP DOI BibTeX RDF
1	Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner	Learning to Detect Objects of Many Classes Using Binary Classifiers.	ECCV	2006	DBLP DOI BibTeX RDF
1	Chi-Hoon Lee, Russell Greiner, Shaojun Wang	Using query-specific variance estimates to combine Bayesian classifiers.	ICML	2006	DBLP DOI BibTeX RDF
1	Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt	A Classification-Based Glioma Diffusion Model Using MRI Data.	Canadian Conference on AI	2006	DBLP DOI BibTeX RDF
1	Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans	Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model.	ICGI	2006	DBLP DOI BibTeX RDF	structural language model, trigram, Language modeling, probabilistic latent semantic analysis
1	Brett Poulin, Roman Eisner, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Cam Macdonell, John Anvik	Visual Explanation of Evidence with Additive Classifiers.	AAAI	2006	DBLP BibTeX RDF
1	Robert Price, Russell Greiner, Gerald Häubl, Alden Flatt	Automatic construction of personalized customer interfaces.	IUI	2006	DBLP DOI BibTeX RDF	interface cost models, interface personalization, online grocery shopping, temporal demand models, e-commerce, particle filters
1	Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner	Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields.	NIPS	2006	DBLP BibTeX RDF
1	Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou	Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers.	Machine Learning	2005	DBLP DOI BibTeX RDF	(Bayesian) belief nets, computational/sample complexity, classification, logistic regression, PAC-learning
1	Gary H. Van Domselaar, Paul Stothard, Savita Shrivastava, Joseph A. Cruz, Anchi Guo, Xiaoli Dong, Paul Lu, Duane Szafron, Russell Greiner, David S. Wishart	BASys: a web server for automated bacterial genome annotation.	Nucleic Acids Research	2005	DBLP DOI BibTeX RDF
1	Paul Lu, Duane Szafron, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Brett Poulin, Roman Eisner, Danny Ngo, Nicholas Lamb	PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization.	Nucleic Acids Research	2005	DBLP DOI BibTeX RDF
1	Chi-Hoon Lee, Russell Greiner, Mark Schmidt	Support Vector Random Fields for Spatial Classification.	PKDD	2005	DBLP DOI BibTeX RDF
1	Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price	Using Learned Browsing Behavior Models to Recommend Relevant Web Pages.	IJCAI	2005	DBLP BibTeX RDF
1	Yuhong Guo, Russell Greiner, Dale Schuurmans	Learning Coordination Classifiers.	IJCAI	2005	DBLP BibTeX RDF
1	Aloak Kapoor, Russell Greiner	Learning and Classifying Under Hard Budgets.	ECML	2005	DBLP DOI BibTeX RDF
1	Roman Eisner, Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner	Improving Protein Function Prediction Using the Hierarchical Structure of the Gene Ontology.	CIBCB	2005	DBLP BibTeX RDF
1	Mark Schmidt, Ilya Levner, Russell Greiner, Albert Murtha, Aalo Bistritz	Segmenting brain tumors using alignment-based features.	ICMLA	2005	DBLP DOI BibTeX RDF
1	Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price	Off-line Evaluation of Recommendation Functions.	User Modeling	2005	DBLP DOI BibTeX RDF
1	Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bistritz, Jörg Sander, Russell Greiner	Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines.	CVBIA	2005	DBLP DOI BibTeX RDF
1	Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng	Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields.	ICML	2005	DBLP DOI BibTeX RDF
1	Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner	Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression.	AMFG	2005	DBLP DOI BibTeX RDF
1	Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Roman Eisner, Alona Fyshe, Brandon Pearcy, Luca Pireddu	The Proteome Analyst Suite of Automated Function Prediction Tools.	AAAI	2005	DBLP BibTeX RDF
1	Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price	Goal-Directed Site-Independent Recommendations from Passive Observations.	AAAI	2005	DBLP BibTeX RDF
1	Yuhong Guo, Russell Greiner	Discriminative Model Selection for Belief Net Structures.	AAAI	2005	DBLP BibTeX RDF
1	Zhiyong Lu, Duane Szafron, Russell Greiner, Paul Lu, David S. Wishart, Brett Poulin, John Anvik, Cam Macdonell, Roman Eisner	Predicting subcellular localization of proteins using machine-learned classifiers.	Bioinformatics	2004	DBLP DOI BibTeX RDF
1	Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Brett Poulin, Roman Eisner, Zhiyong Lu, John Anvik, Cam Macdonell, Alona Fyshe, David Meeuwis	Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations.	Nucleic Acids Research	2004	DBLP DOI BibTeX RDF
1	Lihong Li, Vadim Bulitko, Russell Greiner	Batch Reinforcement Learning with State Importance.	ECML	2004	DBLP DOI BibTeX RDF
1	Omid Madani, Daniel J. Lizotte, Russell Greiner	Active Model Selection.	UAI	2004	DBLP BibTeX RDF
1	Omid Madani, Daniel J. Lizotte, Russell Greiner	The Budgeted Multi-armed Bandit Problem.	COLT	2004	DBLP DOI BibTeX RDF
1	Tingshao Zhu, Russell Greiner, Gerald Häubl, Robert Price	Predicting Web Information Content.	ITWP	2003	DBLP DOI BibTeX RDF
1	Ramana Isukapalli, Russell Greiner	Use of Off-line Dynamic Programming for Efficient Image Interpretation.	IJCAI	2003	DBLP BibTeX RDF
1	Vadim Bulitko, Lihong Li, Russell Greiner, Ilya Levner	Lookahead Pathologies for Single Agent Search.	IJCAI	2003	DBLP BibTeX RDF
1	Ilya Levner, Vadim Bulitko, Lihong Li, Greg Lee, Russell Greiner	Towards Automated Creation of Image Interpretation Systems.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF	Machine learning, Computer Vision, Reinforcement learning
1	Tingshao Zhu, Russell Greiner, Gerald Häubl	An Effective Complete-Web Recommender System.	WWW (Alternate Paper Tracks)	2003	DBLP BibTeX RDF
1	Tingshao Zhu, Russell Greiner, Gerald Häubl	Learning a Model of a Web User's Interests.	User Modeling	2003	DBLP DOI BibTeX RDF
1	Daniel J. Lizotte, Omid Madani, Russell Greiner	Budgeted Learning of Naive-Bayes Classifiers.	UAI	2003	DBLP BibTeX RDF
1	Bin Shen, Xiaoyuan Su, Russell Greiner, Petr Musílek, Corrine Cheng	Discriminative Parameter Learning of General Bayesian Network Classifiers.	ICTAI	2003	DBLP DOI BibTeX RDF
1	Russell Greiner, Adam J. Grove, Dan Roth	Learning cost-sensitive active classifiers.	Artif. Intell.	2002	DBLP DOI BibTeX RDF
1	Jie Cheng, Russell Greiner, Jonathan Kelly, David A. Bell, Weiru Liu	Learning Bayesian networks from data: An information-theory based approach.	Artif. Intell.	2002	DBLP DOI BibTeX RDF
1	Ilya Levner, Vadim Bulitko, Omid Madani, Russell Greiner	Performance of Lookahead Control Policies in the Face of Abstractions and Approximations.	SARA	2002	DBLP DOI BibTeX RDF
1	Russell Greiner, Wei Zhou	Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers.	AAAI/IAAI	2002	DBLP BibTeX RDF
1	Russell Greiner, Ryan Hayward, Michael Molloy	Optimal Depth-First Strategies for And-Or Trees.	AAAI/IAAI	2002	DBLP BibTeX RDF
1	Russell Greiner, Christian Darken, N. Iwan Santoso	Efficient reasoning.	ACM Comput. Surv.	2001	DBLP DOI BibTeX RDF	efficiency trade-offs, soundness/completeness/expressibility
1	Ramana Isukapalli, Russell Greiner	Efficient Interpretation Policies.	IJCAI	2001	DBLP BibTeX RDF
1	Ramana Isukapalli, Russell Greiner	Efficient Car Recognition Policies.	ICRA	2001	DBLP BibTeX RDF
1	Tim Van Allen, Russell Greiner, Peter Hooper	Bayesian Error-Bars for Belief Net Inference.	UAI	2001	DBLP BibTeX RDF
1	Jie Cheng, Russell Greiner	Learning Bayesian Belief Network Classifiers: Algorithms and System.	Canadian Conference on AI	2001	DBLP DOI BibTeX RDF
1	Tim Van Allen, Russell Greiner	Model Selection Criteria for Learning Belief Nets: An Empirical Comparison.	ICML	2000	DBLP BibTeX RDF
1	Benjamin Korvemaker, Russell Greiner	Predicting UNIX Command Lines: Adjusting to User Patterns.	AAAI/IAAI	2000	DBLP BibTeX RDF
1	Russell Greiner	The Complexity of Revising Logic Programs.	J. Log. Program.	1999	DBLP DOI BibTeX RDF
1	Jie Cheng, Russell Greiner	Comparing Bayesian Network Classifiers.	UAI	1999	DBLP BibTeX RDF
1	Russell Greiner, Adam J. Grove, Alexander Kogan	Knowing what doesn't Matter: Exploiting the Omission of Irrelevant Data.	Artif. Intell.	1997	DBLP DOI BibTeX RDF
1	Devika Subramanian, Russell Greiner, Judea Pearl	The Relevance of Relevance (Editorial).	Artif. Intell.	1997	DBLP DOI BibTeX RDF
1	Tobias Scheffer, Russell Greiner, Christian Darken	Why Experimentation can be better than "Perfect Guidance".	ICML	1997	DBLP BibTeX RDF

Publications of "Russell Greiner" ( http://dblp.L3S.de/Authors/Russell_Greiner )