Cs-Lg
Model Selection Through Sparse Maximum Likelihood Estimation
Conditional Probability Tree Estimation Analysis and Algorithms
Performing Nonlinear Blind Source Separation with Signal Invariants
Tree Exploration for Bayesian RL Exploration
Open Problems in Universal Induction & Intelligence
Machine Learning for Galaxy Morphology Classification
In All Likelihood, Deep Belief Is Not Enough
Query Strategies for Evading Convex-Inducing Classifiers
Polynomial-Time Approximation Schemes for Knapsack and Related Counting Problems using Branching Programs
Structural Solutions to Dynamic Scheduling for Multimedia Transmission in Unknown Wireless Environments
Applications of Machine Learning Methods to Quantifying Phenotypic Traits that Distinguish the Wild Type from the Mutant Arabidopsis Thaliana Seedlings during Root Gravitropism
An Explicit Nonlinear Mapping for Manifold Learning
Decentralized Online Learning Algorithms for Opportunistic Spectrum Access
Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces
Interpreting Graph Cuts as a Max-Product Algorithm
Dual Control with Active Learning using Gaussian Process Regression
A Framework for Optimization under Limited Information
A Philosophical Treatise of Universal Induction
Rapid Learning with Stochastic Focus of Attention
Bounding the Fat Shattering Dimension of a Composition Function Class Built Using a Continuous Logic Connective
Named Entity Recognition Using Web Document Corpus
Fast and Faster: A Comparison of Two Streamed Matrix Decomposition Algorithms
