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Discovery Science [2011]
- 1
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On the Expressive Power of Deep Architectures
- 2
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Learning from Label Preferences
- 18
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Information Distance and Its Extensions
- 29
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Models for Autonomously Motivated Exploration in Reinforcement Learning
- 30
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Optimal Estimation
- 31
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Monotone Instance Ranking with <Emphasis Type="SmallCaps">mira</Emphasis>
- 46
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<Emphasis FontCategory="NonProportional">MOA-TweetReader</Emphasis>: Real-Time Analysis in Twitter Streaming Data
- 61
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Application of Semantic Kernels to Literature-Based Gene Function Annotation
- 76
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“Tell Me More”: Finding Related Items from User Provided Feedback
- 91
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MEI: Mutual Enhanced Infinite Generative Model for Simultaneous Community and Topic Detection
- 107
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A Methodology for Mining Document-Enriched Heterogeneous Information Networks
- 122
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Multiple Hypothesis Testing in Pattern Discovery
- 135
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A Parameter-Free Method for Discovering Generalized Clusters in a Network
- 150
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Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model
- 165
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Using Ontologies in Semantic Data Mining with SEGS and g-SEGS
- 179
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Mining Classification Rules without Support: an Anti-monotone Property of Jaccard Measure
- 194
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Bootstrapping Parameter Estimation in Dynamic Systems
- 209
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Network Effects on Tweeting
- 221
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Context-Aware Personal Route Recognition
- 236
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Scalable Detection of Frequent Substrings by Grammar-Based Compression
- 247
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A Statistical Model for Topically Segmented Documents
- 262
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Predicting Structured Outputs <Emphasis Type="Italic">k</Emphasis>-Nearest Neighbours Method
- 277
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The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining
- 292
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Word Clouds for Efficient Document Labeling
- 307
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Global and Local Spatial Autocorrelation in Predictive Clustering Trees
- 323
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Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier
- 335
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Graph Clustering Based on Optimization of a Macroscopic Structure of Clusters
- 351
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Modeling the Temperature of Hot Rolled Steel Plate with Semi-supervised Learning Methods
- 365
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Controlled Permutations for Testing Adaptive Classifiers