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Incremental Local Evolutionary Outlier Detection for Dynamic Social Networks |
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1 | (15) |
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How Long Will She Call Me? Distribution, Social Theory and Duration Prediction |
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16 | (16) |
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Discovering Nested Communities |
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32 | (16) |
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CSI: Community-Level Social Influence Analysis |
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48 | (16) |
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Natural Language Processing and Information Extraction |
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Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases |
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64 | (16) |
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Error Prediction with Partial Feedback |
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80 | (15) |
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Boot-Strapping Language Identifiers for Short Colloquial Postings |
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95 | (17) |
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Ranking and Recommender Systems |
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A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions |
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112 | (16) |
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Learning Socially Optimal Information Systems from Egoistic Users |
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128 | (17) |
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Socially Enabled Preference Learning from Implicit Feedback Data |
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145 | (16) |
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Cross-Domain Recommendation via Cluster-Level Latent Factor Model |
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161 | (16) |
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Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective |
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177 | (17) |
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Matrix and Tensor Analysis |
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Noisy Matrix Completion Using Alternating Minimization |
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194 | (16) |
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A Nearly Unbiased Matrix Completion Approach |
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210 | (16) |
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A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank |
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226 | (16) |
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Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization |
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242 | (14) |
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Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data |
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256 | (16) |
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Kleanthis-Nikolaos Kontonasios |
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An Analysis of Tensor Models for Learning on Structured Data |
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272 | (16) |
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Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model |
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288 | (16) |
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Structured Output Prediction, Multi-label and Multi-task Learning |
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Taxonomic Prediction with Tree-Structured Covariances |
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304 | (16) |
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Position Preserving Multi-Output Prediction |
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320 | (16) |
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Structured Output Learning with Candidate Labels for Local Parts |
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336 | (17) |
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Shared Structure Learning for Multiple Tasks with Multiple Views |
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353 | (16) |
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Using Both Latent and Supervised Shared Topics for Multitask Learning |
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369 | (16) |
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Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions |
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385 | (16) |
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Andre C.P.L.F. de Carvalho |
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Multi-core Structural SVM Training |
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401 | (16) |
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Multi-label Classification with Output Kernels |
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417 | (16) |
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Boosting for Unsupervised Domain Adaptation |
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433 | (16) |
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Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines |
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449 | (16) |
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Decebal Constantin Mocanu |
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A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data |
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465 | (18) |
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A Bayesian Classifier for Learning from Tensorial Data |
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483 | (16) |
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Prediction with Model-Based Neutrality |
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499 | (16) |
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Decision-Theoretic Sparsification for Gaussian Process Preference Learning |
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515 | (16) |
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Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures |
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531 | (17) |
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Sparsity in Bayesian Blind Source Separation and Deconvolution |
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548 | (16) |
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Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis |
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564 | (16) |
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Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models |
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580 | (16) |
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Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation |
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596 | (16) |
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Greedy Part-Wise Learning of Sum-Product Networks |
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612 | (16) |
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From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering |
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628 | (15) |
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Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification |
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643 | (17) |
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Fast kNN Graph Construction with Locality Sensitive Hashing |
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660 | (15) |
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Mixtures of Large Margin Nearest Neighbor Classifiers |
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675 | (14) |
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Author Index |
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689 | |