Cs-Lg
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm
Automorphism Groups of Graphical Models and Lifted Variational Inference
Improving Persian Document Classification Using Semantic Relations between Words
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Decentralized, Adaptive, Look-Ahead Particle Filtering
Sequence Transduction with Recurrent Neural Networks
Machine learning approach for text and document mining
Sparse group lasso and high dimensional multinomial classification
Online Structured Prediction via Coactive Learning
PID Parameters Optimization by Using Genetic Algorithm
Distributed GraphLab: A Framework for Machine Learning in the Cloud
Bayesian Inference in Monte-Carlo Tree Search
Evolving Culture vs Local Minima
Bayesian Model Averaging Using the k-best Bayesian Network Structures
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning
Inference algorithms for pattern-based CRFs on sequence data
Non-Convex Rank Minimization via an Empirical Bayesian Approach
A Dataset is Worth 1 MB
Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis-Hastings with Approximate Operators
X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimation
Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models
Further Optimal Regret Bounds for Thompson Sampling
