Cs-Lg
Empirically Evaluating Multiagent Learning Algorithms
Structured Generative Models of Natural Source Code
Robust Hierarchical Clustering
Efficiently Detecting Overlapping Communities through Seeding and Semi-Supervised Learning
Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods
Joint Inference of Multiple Label Types in Large Networks
Learning Multilingual Word Representations using a Bag-of-Words Autoencoder
Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors
An Active Learning Approach for Jointly Estimating Worker Performance and Annotation Reliability with Crowdsourced Data
Optimal Demand Response Using Device Based Reinforcement Learning
Experiments with Three Approaches to Recognizing Lexical Entailment
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
An Empirical Evaluation of Similarity Measures for Time Series Classification
A machine-compiled macroevolutionary history of Phanerozoic life
Scalable Topical Phrase Mining from Text Corpora
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems
Inner Product Similarity Search using Compositional Codes
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
