Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models (English)
- New search for: Yang, S.
- New search for: Natarajan, S.
- New search for: Yang, S.
- New search for: Natarajan, S.
- New search for: Blockeel, Hendrik
- New search for: Kersting, Kristian
- New search for: Nijssen, Siegfried
In:
Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013 : proceedings, Part 2
8189
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580-595
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2013
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ISBN:
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ISSN:
- Conference paper / Print
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Title:Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models
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Contributors:Yang, S. ( author ) / Natarajan, S. ( author ) / Blockeel, Hendrik / Kersting, Kristian / Nijssen, Siegfried
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Conference:Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013 : proceedings, Part 2 ; 2013 ; Prague, Czech Republic
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Published in:LECTURE NOTES IN COMPUTER SCIENCE , 8189 ; 580-595
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Publisher:
- New search for: Springer
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Place of publication:Heidelberg
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Publication date:2013-01-01
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Size:16 pages
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Remarks:Includes bibliographical references and index. Also issued online.
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ISBN:
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ISSN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
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Keywords:
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Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents conference proceedings
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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Incremental Local Evolutionary Outlier Detection for Dynamic Social NetworksJi, T. / Yang, D. / Gao, J. et al. | 2013
- 16
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How Long Will She Call Me? Distribution, Social Theory and Duration PredictionDong, Y. / Tang, J. / Lou, T. / Wu, B. / Chawla, N.V. et al. | 2013
- 32
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Discovering Nested CommunitiesTatti, N. / Gionis, A. et al. | 2013
- 48
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CSI: Community-Level Social Influence AnalysisMehmood, Y. / Barbieri, N. / Bonchi, F. / Ukkonen, A. et al. | 2013
- 64
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Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text DatabasesBoella, G. / Di Caro, L. et al. | 2013
- 80
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Error Prediction with Partial FeedbackDarling, W. / Archambeau, C. / Mirkin, S. / Bouchard, G. et al. | 2013
- 95
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Boot-Strapping Language Identifiers for Short Colloquial PostingsGoldszmidt, M. / Najork, M. / Paparizos, S. et al. | 2013
- 112
-
A Pairwise Label Ranking Method with Imprecise Scores and Partial PredictionsDestercke, S. et al. | 2013
- 128
-
Learning Socially Optimal Information Systems from Egoistic UsersRaman, K. / Joachims, T. et al. | 2013
- 145
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Socially Enabled Preference Learning from Implicit Feedback DataDelporte, J. / Karatzoglou, A. / Matuszczyk, T. / Canu, S. et al. | 2013
- 161
-
Cross-Domain Recommendation via Cluster-Level Latent Factor ModelGao, S. / Luo, H. / Chen, D. / Li, S. / Gallinari, P. / Guo, J. et al. | 2013
- 177
-
Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm ObjectiveKong, D. / Zhang, M. / Ding, C. et al. | 2013
- 194
-
Noisy Matrix Completion Using Alternating MinimizationGunasekar, S. / Acharya, A. / Gaur, N. / Ghosh, J. et al. | 2013
- 210
-
A Nearly Unbiased Matrix Completion ApproachLiu, D. / Zhou, T. / Qian, H. / Xu, C. / Zhang, Z. et al. | 2013
- 226
-
A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of RankZhang, H. / Lin, Z. / Zhang, C. et al. | 2013
- 242
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Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix FactorizationLiao, Q. / Zhang, Q. et al. | 2013
- 256
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Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued DataKontonasios, K.-N. / Vreeken, J. / De Bie, T. et al. | 2013
- 272
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An Analysis of Tensor Models for Learning on Structured DataNickel, M. / Tresp, V. et al. | 2013
- 288
-
Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing ModelLu, H. et al. | 2013
- 304
-
Taxonomic Prediction with Tree-Structured CovariancesBlaschko, M.B. / Zaremba, W. / Gretton, A. et al. | 2013
- 320
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Position Preserving Multi-Output PredictionAbraham, Z. / Tan, P.-N. / Perdinan / Winkler, J. / Zhong, S. / Liszewska, M. et al. | 2013
- 336
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Structured Output Learning with Candidate Labels for Local PartsLi, C. / Zhang, J. / Chen, Z. et al. | 2013
- 353
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Shared Structure Learning for Multiple Tasks with Multiple ViewsJin, X. / Zhuang, F. / Wang, S. / He, Q. / Shi, Z. et al. | 2013
- 369
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Using Both Latent and Supervised Shared Topics for Multitask LearningAcharya, A. / Rawal, A. / Mooney, R.J. / Hruschka, E.R. et al. | 2013
- 385
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Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein FunctionsBarros, R.C. / Cerri, R. / Freitas, A.A. / de Carvalho, A.C.P.L.F. et al. | 2013
- 401
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Multi-core Structural SVM TrainingChang, K.-W. / Srikumar, V. / Roth, D. et al. | 2013
- 417
-
Multi-label Classification with Output KernelsGuo, Y. / Schuurmans, D. et al. | 2013
- 433
-
Boosting for Unsupervised Domain AdaptationHabrard, A. / Peyrache, J.-P. / Sebban, M. et al. | 2013
- 449
-
Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann MachinesAmmar, H.B. / Mocanu, D.C. / Taylor, M.E. / Driessens, K. / Tuyls, K. / Weiss, G. et al. | 2013
- 465
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A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped DataMitra, A. / Ranganath, B.N. / Bhattacharya, I. et al. | 2013
- 483
-
A Bayesian Classifier for Learning from Tensorial DataLiu, W. / Chan, J. / Bailey, J. / Leckie, C. / Chen, F. / Ramamohanarao, K. et al. | 2013
- 499
-
Prediction with Model-Based NeutralityFukuchi, K. / Sakuma, J. / Kamishima, T. et al. | 2013
- 515
-
Decision-Theoretic Sparsification for Gaussian Process Preference LearningAbbasnejad, M.E. / Bonilla, E.V. / Sanner, S. et al. | 2013
- 531
-
Variational Hidden Conditional Random Fields with Coupled Dirichlet Process MixturesBousmalis, K. / Zafeiriou, S. / Morency, L.-P. / Pantic, M. / Ghahramani, Z. et al. | 2013
- 548
-
Sparsity in Bayesian Blind Source Separation and DeconvolutionSmidl, V. / Tichy, O. et al. | 2013
- 564
-
Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic AnalysisAgrawal, P. / Tekumalla, L.S. / Bhattacharya, I. et al. | 2013
- 580
-
Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic ModelsYang, S. / Natarajan, S. et al. | 2013
- 596
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Direct Learning of Sparse Changes in Markov Networks by Density Ratio EstimationLiu, S. / Quinn, J.A. / Gutmann, M.U. / Sugiyama, M. et al. | 2013
- 612
-
Greedy Part-Wise Learning of Sum-Product NetworksPeharz, R. / Geiger, B.C. / Pernkopf, F. et al. | 2013
- 628
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From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity ClusteringBalasubramanyan, R. / Dalvi, B. / Cohen, W.W. et al. | 2013
- 643
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Hub Co-occurrence Modeling for Robust High-Dimensional kNN ClassificationTomasev, N. / Mladenic, D. et al. | 2013
- 660
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Fast kNN Graph Construction with Locality Sensitive HashingZhang, Y.-M. / Huang, K. / Geng, G. / Liu, C.-L. et al. | 2013
- 675
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Mixtures of Large Margin Nearest Neighbor ClassifiersSemerci, M. / Alpaydin, E. et al. | 2013