Cs-Lg
A hybrid learning algorithm for text classification
Counterfactual Forecasting of Human Behavior using Generative AI and Causal Graphs
Gaussian Process Bandits for Tree Search: Theory and Application to Planning in Discounted MDPs
Switching between Hidden Markov Models using Fixed Share
Fast Reinforcement Learning for Energy-Efficient Wireless Communications
The Attentive Perceptron
A neural network approach to ordinal regression
Fast Overlapping Group Lasso
Text Classification using Association Rule with a Hybrid Concept of Naive Bayes Classifier and Genetic Algorithm
Deep one-gate per layer networks with skip connections are universal classifiers
Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
On the Estimation of Coherence
Text Classification using the Concept of Association Rule of Data Mining
Hardware-accelerated graph neural networks: an alternative approach for neuromorphic event-based audio classification and keyword spotting on SoC FPGA
A note on sample complexity of learning binary output neural networks under fixed input distributions
Efficient L1/Lq Norm Regularization
Additive Non-negative Matrix Factorization for Missing Data
A Bayesian View of the Poisson-Dirichlet Process
Supervised Feature Selection via Dependence Estimation
Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards
Using Soft Constraints To Learn Semantic Models Of Descriptions Of Shapes
