An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects (Englisch)
Freier Zugriff
- Neue Suche nach: Chiaravalloti, Antonio D.
- Neue Suche nach: Greco, Gianluigi
- Neue Suche nach: Guzzo, Antonella
- Neue Suche nach: Pontieri, Luigi
- Neue Suche nach: Chiaravalloti, Antonio D.
- Neue Suche nach: Greco, Gianluigi
- Neue Suche nach: Guzzo, Antonella
- Neue Suche nach: Pontieri, Luigi
In:
Machine Learning: ECML 2006
3
;
598-605
;
2006
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
-
Titel:An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects
-
Beteiligte:Chiaravalloti, Antonio D. ( Autor:in ) / Greco, Gianluigi ( Autor:in ) / Guzzo, Antonella ( Autor:in ) / Pontieri, Luigi ( Autor:in )
-
Erschienen in:Machine Learning: ECML 2006 , 3 ; 598-605Lecture Notes in Computer Science ; 4212, 3 ; 598-605
-
Verlag:
- Neue Suche nach: Springer Berlin Heidelberg
-
Erscheinungsort:Berlin, Heidelberg
-
Erscheinungsdatum:01.01.2006
-
Format / Umfang:8 pages
-
ISBN:
-
ISSN:
-
DOI:
-
Medientyp:Aufsatz/Kapitel (Buch)
-
Format:Elektronische Ressource
-
Sprache:Englisch
-
Schlagwörter:
-
Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1
-
On Temporal Evolution in Data StreamsAggarwal, Charu C. et al. | 2006
- 2
-
The Future of CiteSeer: CiteSeer xGiles, C. Lee et al. | 2006
- 3
-
Learning to Have FunSchaeffer, Jonathan et al. | 2006
- 4
-
Winning the DARPA Grand ChallengeThrun, Sebastian et al. | 2006
- 5
-
Challenges of Urban SensingTirri, Henry et al. | 2006
- 6
-
Learning in One-Shot Strategic Form GamesAltman, Alon / Bercovici-Boden, Avivit / Tennenholtz, Moshe et al. | 2006
- 18
-
A Selective Sampling Strategy for Label RankingAmini, Massih / Usunier, Nicolas / Laviolette, François / Lacasse, Alexandre / Gallinari, Patrick et al. | 2006
- 30
-
Combinatorial Markov Random FieldsBekkerman, Ron / Sahami, Mehran / Learned-Miller, Erik et al. | 2006
- 42
-
Learning Stochastic Tree Edit DistanceBernard, Marc / Habrard, Amaury / Sebban, Marc et al. | 2006
- 54
-
Pertinent Background Knowledge for Learning Protein GrammarsBryant, Christopher H. / Fredouille, Daniel C. / Wilson, Alex / Jayawickreme, Channa K. / Jupe, Steven / Topp, Simon et al. | 2006
- 66
-
Improving Bayesian Network Structure Search with Random Variable Aggregation HierarchiesBurge, John / Lane, Terran et al. | 2006
- 78
-
Sequence Discrimination Using Phase-Type DistributionsCallut, Jérôme / Dupont, Pierre et al. | 2006
- 90
-
Languages as Hyperplanes: Grammatical Inference with String KernelsClark, Alexander / Florêncio, Christophe Costa / Watkins, Chris et al. | 2006
- 102
-
Toward Robust Real-World Inference: A New Perspective on Explanation-Based LearningDeJong, Gerald et al. | 2006
- 114
-
Fisher Kernels for Relational DataDick, Uwe / Kersting, Kristian et al. | 2006
- 126
-
Evaluating Misclassifications in Imbalanced DataElazmeh, William / Japkowicz, Nathalie / Matwin, Stan et al. | 2006
- 138
-
Improving Control-Knowledge Acquisition for Planning by Active LearningFuentetaja, Raquel / Borrajo, Daniel et al. | 2006
- 150
-
PAC-Learning of Markov Models with Hidden StateGavaldà, Ricard / Keller, Philipp W. / Pineau, Joelle / Precup, Doina et al. | 2006
- 162
-
A Discriminative Approach for the Retrieval of Images from Text QueriesGrangier, David / Monay, Florent / Bengio, Samy et al. | 2006
- 174
-
TildeCRF: Conditional Random Fields for Logical SequencesGutmann, Bernd / Kersting, Kristian et al. | 2006
- 186
-
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic DataHenegar, Corneliu / Clément, Karine / Zucker, Jean-Daniel et al. | 2006
- 198
-
Bayesian Learning of Markov Network StructureJakulin, Aleks / Rish, Irina et al. | 2006
- 210
-
Approximate Policy Iteration for Closed-Loop Learning of Visual TasksJodogne, Sébastien / Briquet, Cyril / Piater, Justus H. et al. | 2006
- 222
-
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous ActionsJodogne, Sébastien / Piater, Justus H. et al. | 2006
- 234
-
EM Algorithm for Symmetric Causal Independence ModelsJurgelenaite, Rasa / Heskes, Tom et al. | 2006
- 246
-
Deconvolutive Clustering of Markov StatesKabán, Ata / Wang, Xin et al. | 2006
- 258
-
Patching Approximate Solutions in Reinforcement LearningKim, Min Sub / Uther, William et al. | 2006
- 270
-
Fast Variational Inference for Gaussian Process Models Through KL-CorrectionKing, Nathaniel J. / Lawrence, Neil D. et al. | 2006
- 282
-
Bandit Based Monte-Carlo PlanningKocsis, Levente / Szepesvári, Csaba et al. | 2006
- 294
-
Bayesian Learning with Mixtures of TreesKollin, Jussi / Koivisto, Mikko et al. | 2006
- 306
-
Transductive Gaussian Process Regression with Automatic Model SelectionLe, Quoc V. / Smola, Alex J. / Gärtner, Thomas / Altun, Yasemin et al. | 2006
- 318
-
Efficient Convolution Kernels for Dependency and Constituent Syntactic TreesMoschitti, Alessandro et al. | 2006
- 330
-
Why Is Rule Learning Optimistic and How to Correct ItMožina, Martin / Demšar, Janez / Žabkar, Jure / Bratko, Ivan et al. | 2006
- 341
-
Automatically Evolving Rule Induction AlgorithmsPappa, Gisele L. / Freitas, Alex A. et al. | 2006
- 353
-
Bayesian Active Learning for Sensitivity AnalysisPfingsten, Tobias et al. | 2006
- 365
-
Mixtures of Kikuchi ApproximationsSantana, Roberto / Larrañaga, Pedro / Lozano, Jose A. et al. | 2006
- 377
-
Boosting in PN SpacesScholz, Martin et al. | 2006
- 389
-
Prioritizing Point-Based POMDP SolversShani, Guy / Brafman, Ronen I. / Shimony, Solomon E. et al. | 2006
- 401
-
Graph Based Semi-supervised Learning with Sharper EdgesShin, Hyunjung (Helen) / Hill, N. Jeremy / Rätsch, Gunnar et al. | 2006
- 413
-
Margin-Based Active Learning for Structured Output SpacesRoth, Dan / Small, Kevin et al. | 2006
- 425
-
Skill Acquisition Via Transfer Learning and Advice TakingTorrey, Lisa / Shavlik, Jude / Walker, Trevor / Maclin, Richard et al. | 2006
- 437
-
Constant Rate Approximate Maximum Margin AlgorithmsTsampouka, Petroula / Shawe-Taylor, John et al. | 2006
- 449
-
Batch Classification with Applications in Computer Aided DiagnosisVural, Volkan / Fung, Glenn / Krishnapuram, Balaji / Dy, Jennifer / Rao, Bharat et al. | 2006
- 461
-
Improving the Ranking Performance of Decision TreesWang, Bin / Zhang, Harry et al. | 2006
- 473
-
Multiple-Instance Learning Via Random WalkWang, Dong / Li, Jianmin / Zhang, Bo et al. | 2006
- 485
-
Localized Alternative Cluster Ensembles for Collaborative StructuringWurst, Michael / Morik, Katharina / Mierswa, Ingo et al. | 2006
- 497
-
Distributional Features for Text CategorizationXue, Xiao-Bing / Zhou, Zhi-Hua et al. | 2006
- 509
-
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional DataYan, Bojun / Domeniconi, Carlotta et al. | 2006
- 521
-
An Adaptive Kernel Method for Semi-supervised ClusteringYan, Bojun / Domeniconi, Carlotta et al. | 2006
- 533
-
To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE EnsemblesYang, Ying / Webb, Geoff / Cerquides, Jesús / Korb, Kevin / Boughton, Janice / Ting, Kai Ming et al. | 2006
- 545
-
Ensembles of Nearest Neighbor ForecastsYankov, Dragomir / DeCoste, Dennis / Keogh, Eamonn et al. | 2006
- 557
-
Learning Process Models with Missing DataBridewell, Will / Langley, Pat / Racunas, Steve / Borrett, Stuart et al. | 2006
- 566
-
Case-Based Label RankingBrinker, Klaus / Hüllermeier, Eyke et al. | 2006
- 574
-
Cascade Evaluation of Clustering AlgorithmsCandillier, Laurent / Tellier, Isabelle / Torre, Fabien / Bousquet, Olivier et al. | 2006
- 582
-
Making Good Probability Estimates for RegressionCarney, Michael / Cunningham, Pádraig et al. | 2006
- 590
-
Fast Spectral Clustering of Data Using Sequential Matrix CompressionChen, Bo / Gao, Bin / Liu, Tie-Yan / Chen, Yu-Fu / Ma, Wei-Ying et al. | 2006
- 598
-
An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous ObjectsChiaravalloti, Antonio D. / Greco, Gianluigi / Guzzo, Antonella / Pontieri, Luigi et al. | 2006
- 606
-
Efficient Inference in Large Conditional Random FieldsCohn, Trevor et al. | 2006
- 614
-
A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational LensesCuevas-Tello, Juan C. / Tiňo, Peter / Raychaudhury, Somak et al. | 2006
- 622
-
Cost-Sensitive Decision Tree Learning for Forensic ClassificationDavis, Jason V. / Ha, Jungwoo / Rossbach, Christopher J. / Ramadan, Hany E. / Witchel, Emmett et al. | 2006
- 630
-
The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature SpacesDolia, Alexander N. / Bie, Tijl / Harris, Chris J. / Shawe-Taylor, John / Titterington, D. M. et al. | 2006
- 638
-
Right of Inference: Nearest Rectangle Learning RevisitedGao, Byron J. / Ester, Martin et al. | 2006
- 646
-
Reinforcement Learning for MDPs with ConstraintsGeibel, Peter et al. | 2006
- 654
-
Efficient Non-linear Control Through NeuroevolutionGomez, Faustino / Schmidhuber, Jürgen / Miikkulainen, Risto et al. | 2006
- 663
-
Efficient Prediction-Based Validation for Document ClusteringGreene, Derek / Cunningham, Pádraig et al. | 2006
- 671
-
On Testing the Missing at Random AssumptionJaeger, Manfred et al. | 2006
- 679
-
B-Matching for Spectral ClusteringJebara, Tony / Shchogolev, Vlad et al. | 2006
- 687
-
Multi-class Ensemble-Based Active LearningKörner, Christine / Wrobel, Stefan et al. | 2006
- 695
-
Active Learning with Irrelevant ExamplesMazzoni, Dominic / Wagstaff, Kiri L. / Burl, Michael C. et al. | 2006
- 703
-
Classification with Support HyperplanesNalbantov, Georgi I. / Bioch, Jan C. / Groenen, Patrick J. F. et al. | 2006
- 711
-
(Agnostic) PAC Learning Concepts in Higher-Order LogicNg, K. S. et al. | 2006
- 719
-
Evaluating Feature Selection for SVMs in High DimensionsNilsson, Roland / Peña, José M. / Björkegren, Johan / Tegnér, Jesper et al. | 2006
- 727
-
Revisiting Fisher Kernels for Document SimilaritiesNyffenegger, Martin / Chappelier, Jean-Cédric / Gaussier, Éric et al. | 2006
- 735
-
Scaling Model-Based Average-Reward Reinforcement Learning for Product DeliveryProper, Scott / Tadepalli, Prasad et al. | 2006
- 743
-
Robust Probabilistic CalibrationRüping, Stefan et al. | 2006
- 751
-
Missing Data in Kernel PCASanguinetti, Guido / Lawrence, Neil D. et al. | 2006
- 759
-
Exploiting Extremely Rare Features in Text CategorizationSchönhofen, Péter / Benczúr, András A. et al. | 2006
- 767
-
Efficient Large Scale Linear Programming Support Vector MachinesSra, Suvrit et al. | 2006
- 775
-
An Efficient Approximation to Lookahead in Relational LearnersStruyf, Jan / Davis, Jesse / Page, David et al. | 2006
- 783
-
Improvement of Systems Management Policies Using Hybrid Reinforcement LearningTesauro, Gerald / Jong, Nicholas K. / Das, Rajarshi / Bennani, Mohamed N. et al. | 2006
- 792
-
Diversified SVM Ensembles for Large Data SetsTsang, Ivor W. / Kocsor, Andras / Kwok, James T. et al. | 2006
- 801
-
Dynamic Integration with Random ForestsTsymbal, Alexey / Pechenizkiy, Mykola / Cunningham, Pádraig et al. | 2006
- 809
-
Bagging Using Statistical QueriesAssche, Anneleen / Blockeel, Hendrik et al. | 2006
- 817
-
Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption TestWieczorek, Samuel / Bisson, Gilles / Gordon, Mirta B. et al. | 2006
- 825
-
Spline Embedding for Nonlinear Dimensionality ReductionXiang, Shiming / Nie, Feiping / Zhang, Changshui / Zhang, Chunxia et al. | 2006
- 833
-
Cost-Sensitive Learning of SVM for RankingXu, Jun / Cao, Yunbo / Li, Hang / Huang, Yalou et al. | 2006
- 841
-
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family MixturesYu, Shipeng / Yu, Kai / Tresp, Volker / Kriegel, Hans-Peter et al. | 2006