A Matrix Factorization Approach for Integrating Multiple Data Views (English)
Free access
- New search for: Greene, Derek
- New search for: Cunningham, Pádraig
- New search for: Greene, Derek
- New search for: Cunningham, Pádraig
In:
Machine Learning and Knowledge Discovery in Databases
4
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423-438
;
2009
- Article/Chapter (Book) / Electronic Resource
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Title:A Matrix Factorization Approach for Integrating Multiple Data Views
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Contributors:Greene, Derek ( author ) / Cunningham, Pádraig ( author )
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Published in:Machine Learning and Knowledge Discovery in Databases , 4 ; 423-438Lecture Notes in Computer Science ; 5781, 4 ; 423-438
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Publisher:
- New search for: Springer Berlin Heidelberg
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Place of publication:Berlin, Heidelberg
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Publication date:2009-01-01
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Size:16 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Theory-Practice Interplay in Machine Learning – Emerging Theoretical ChallengesBen-David, Shai et al. | 2009
- 2
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Are We There Yet?Cristianini, Nello et al. | 2009
- 3
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The Growing Semantic WebGreaves, Mark et al. | 2009
- 4
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Privacy in Web Search Query Log MiningJones, Rosie et al. | 2009
- 5
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Highly Multilingual News Analysis ApplicationsSteinberger, Ralf et al. | 2009
- 6
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Combining Instance-Based Learning and Logistic Regression for Multilabel ClassificationCheng, Weiwei / Hüllermeier, Eyke et al. | 2009
- 7
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On Structured Output Training: Hard Cases and an Efficient AlternativeGärtner, Thomas / Vembu, Shankar et al. | 2009
- 8
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Sparse Kernel SVMs via Cutting-Plane TrainingJoachims, Thorsten / Yu, Chun-Nam John et al. | 2009
- 9
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Hybrid Least-Squares Algorithms for Approximate Policy EvaluationJohns, Jeff / Petrik, Marek / Mahadevan, Sridhar et al. | 2009
- 10
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A Self-training Approach to Cost Sensitive Uncertainty SamplingLiu, Alexander / Jun, Goo / Ghosh, Joydeep et al. | 2009
- 11
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Learning Multi-linear Representations of Distributions for Efficient InferenceRoth, Dan / Samdani, Rajhans et al. | 2009
- 12
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Cost-Sensitive Learning Based on Bregman DivergencesSantos-Rodríguez, Raúl / Guerrero-Curieses, Alicia / Alaiz-Rodríguez, Rocío / Cid-Sueiro, Jesús et al. | 2009
- 13
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RTG: A Recursive Realistic Graph Generator Using Random TypingAkoglu, Leman / Faloutsos, Christos et al. | 2009
- 29
-
Taxonomy-Driven Lumping for Sequence MiningBonchi, Francesco / Castillo, Carlos / Donato, Debora / Gionis, Aristides et al. | 2009
- 30
-
On Subgroup Discovery in Numerical DomainsGrosskreutz, Henrik / Rüping, Stefan et al. | 2009
- 31
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Harnessing the Strengths of Anytime Algorithms for Constant Data StreamsKranen, Philipp / Seidl, Thomas et al. | 2009
- 32
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Identifying the ComponentsLeeuwen, Matthijs / Vreeken, Jilles / Siebes, Arno et al. | 2009
- 33
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Two-Way Analysis of High-Dimensional Collinear DataHuopaniemi, Ilkka / Suvitaival, Tommi / Nikkilä, Janne / Orešič, Matej / Kaski, Samuel et al. | 2009
- 34
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A Fast Ensemble Pruning Algorithm Based on Pattern Mining ProcessZhao, Qiang-Li / Jiang, Yan-Huang / Xu, Ming et al. | 2009
- 35
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Evaluation Measures for Multi-class Subgroup DiscoveryAbudawood, Tarek / Flach, Peter et al. | 2009
- 51
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Empirical Study of Relational Learning Algorithms in the Phase Transition FrameworkAlphonse, Erick / Osmani, Aomar et al. | 2009
- 67
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Topic Significance Ranking of LDA Generative ModelsAlSumait, Loulwah / Barbará, Daniel / Gentle, James / Domeniconi, Carlotta et al. | 2009
- 83
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Communication-Efficient Classification in P2P NetworksAng, Hock Hee / Gopalkrishnan, Vivekanand / Ng, Wee Keong / Hoi, Steven et al. | 2009
- 99
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A Generalization of Forward-Backward AlgorithmAzuma, Ai / Matsumoto, Yuji et al. | 2009
- 115
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Mining Graph Evolution RulesBerlingerio, Michele / Bonchi, Francesco / Bringmann, Björn / Gionis, Aristides et al. | 2009
- 131
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Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian NetworksBesada-Portas, Eva / Plis, Sergey M. / Cruz, Jesus M. / Lane, Terran et al. | 2009
- 147
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Adaptive XML Tree Classification on Evolving Data StreamsBifet, Albert / Gavaldà, Ricard et al. | 2009
- 163
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A Condensed Representation of Itemsets for Analyzing Their Evolution over TimeBoettcher, Mirko / Spott, Martin / Kruse, Rudolf et al. | 2009
- 179
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Non-redundant Subgroup Discovery Using a Closure SystemBoley, Mario / Grosskreutz, Henrik et al. | 2009
- 195
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PLSI: The True Fisher Kernel and beyondChappelier, Jean-Cédric / Eckard, Emmanuel et al. | 2009
- 211
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Semi-supervised Document Clustering with Simultaneous Text Representation and CategorizationChen, Yanhua / Wang, Lijun / Dong, Ming et al. | 2009
- 227
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One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event LogsAharon, Michal / Barash, Gilad / Cohen, Ira / Mordechai, Eli et al. | 2009
- 244
-
Conference Mining via Generalized Topic ModelingDaud, Ali / Li, Juanzi / Zhou, Lizhu / Muhammad, Faqir et al. | 2009
- 260
-
Within-Network Classification Using Local Structure SimilarityDesrosiers, Christian / Karypis, George et al. | 2009
- 276
-
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)Dhillon, Paramveer S. / Tomasik, Brian / Foster, Dean / Ungar, Lyle et al. | 2009
- 290
-
Kernel Polytope Faces PursuitDiethe, Tom / Hussain, Zakria et al. | 2009
- 302
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Soft Margin TreesDíez, Jorge / Coz, Juan José / Bahamonde, Antonio / Luaces, Oscar et al. | 2009
- 315
-
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMsDo, Huyen / Kalousis, Alexandros / Hilario, Melanie et al. | 2009
- 330
-
Margin and Radius Based Multiple Kernel LearningDo, Huyen / Kalousis, Alexandros / Woznica, Adam / Hilario, Melanie et al. | 2009
- 344
-
Inference and Validation of NetworksFlaounas, Ilias N. / Turchi, Marco / Bie, Tijl / Cristianini, Nello et al. | 2009
- 359
-
Binary Decomposition Methods for Multipartite RankingFürnkranz, Johannes / Hüllermeier, Eyke / Vanderlooy, Stijn et al. | 2009
- 375
-
Leveraging Higher Order Dependencies between Features for Text ClassificationGaniz, Murat C. / Lytkin, Nikita I. / Pottenger, William M. et al. | 2009
- 391
-
Syntactic Structural Kernels for Natural Language Interfaces to DatabasesGiordani, Alessandra / Moschitti, Alessandro et al. | 2009
- 407
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Active and Semi-supervised Data Domain DescriptionGörnitz, Nico / Kloft, Marius / Brefeld, Ulf et al. | 2009
- 423
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A Matrix Factorization Approach for Integrating Multiple Data ViewsGreene, Derek / Cunningham, Pádraig et al. | 2009
- 439
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Transductive Classification via Dual RegularizationGu, Quanquan / Zhou, Jie et al. | 2009
- 455
-
Stable and Accurate Feature SelectionGulgezen, Gokhan / Cataltepe, Zehra / Yu, Lei et al. | 2009
- 469
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Efficient Sample Reuse in EM-Based Policy SearchHachiya, Hirotaka / Peters, Jan / Sugiyama, Masashi et al. | 2009
- 485
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Applying Electromagnetic Field Theory Concepts to Clustering with ConstraintsHakkoymaz, Huseyin / Chatzimilioudis, Georgios / Gunopulos, Dimitrios / Mannila, Heikki et al. | 2009
- 501
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An ℓ1 Regularization Framework for Optimal Rule CombinationHan, Yanjun / Wang, Jue et al. | 2009
- 517
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A Generic Approach to Topic ModelsHeinrich, Gregor et al. | 2009
- 533
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Feature Selection by Transfer Learning with Linear Regularized ModelsHelleputte, Thibault / Dupont, Pierre et al. | 2009
- 548
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Integrating Logical Reasoning and Probabilistic Chain GraphsHommersom, Arjen / Ferreira, Nivea / Lucas, Peter J. F. et al. | 2009
- 564
-
Max-Margin Weight Learning for Markov Logic NetworksHuynh, Tuyen N. / Mooney, Raymond J. et al. | 2009
- 580
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Parameter-Free Hierarchical Co-clustering by n-Ary SplitsIenco, Dino / Pensa, Ruggero G. / Meo, Rosa et al. | 2009
- 596
-
Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background TextsIkeda, Daisuke / Suzuki, Einoshin et al. | 2009
- 612
-
Minimum Free Energy Principle for Constraint-Based Learning Bayesian NetworksIsozaki, Takashi / Ueno, Maomi et al. | 2009
- 628
-
Kernel-Based Copula ProcessesJaimungal, Sebastian / Ng, Eddie K. H. et al. | 2009
- 644
-
Compositional Models for Reinforcement LearningJong, Nicholas K. / Stone, Peter et al. | 2009
- 660
-
Feature Selection for Value Function Approximation Using Bayesian Model SelectionJung, Tobias / Stone, Peter et al. | 2009
- 676
-
Learning Preferences with Hidden Common Cause RelationsKersting, Kristian / Xu, Zhao et al. | 2009
- 692
-
Feature Selection for Density Level-SetsKloft, Marius / Nakajima, Shinichi / Brefeld, Ulf et al. | 2009
- 705
-
Efficient Multi-start Strategies for Local Search AlgorithmsKocsis, Levente / György, András et al. | 2009
- 721
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Considering Unseen States as Impossible in Factored Reinforcement LearningKozlova, Olga / Sigaud, Olivier / Wuillemin, Pierre-Henri / Meyer, Christophe et al. | 2009
- 736
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Relevance Grounding for Planning in Relational DomainsLang, Tobias / Toussaint, Marc et al. | 2009