Cs-Lg
LOFA: Online Influence Maximization under Full-Bandit Feedback using Lazy Forward Selection
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance
Network Flow Algorithms for Structured Sparsity
Memristor Crossbar-based Hardware Implementation of IDS Method
An Empirical Evaluation of Four Algorithms for Multi-Class Classification: Mart, ABC-Mart, Robust LogitBoost, and ABC-LogitBoost
Close Clustering Based Automated Color Image Annotation
Role of Interestingness Measures in CAR Rule Ordering for Associative Classifier: An Empirical Approach
An Architecture of Active Learning SVMs with Relevance Feedback for Classifying E-mail
Learning Multiple Belief Propagation Fixed Points for Real Time Inference
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
Multi-Instance Multi-Label Learning
Detecting Weak but Hierarchically-Structured Patterns in Networks
Adaptive Bases for Reinforcement Learning
Asymptotic Analysis of Generative Semi-Supervised Learning
NESVM: a Fast Gradient Method for Support Vector Machines
Prediction by Compression
Structured sparsity-inducing norms through submodular functions
A Learning Algorithm based on High School Teaching Wisdom
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
A hybrid learning algorithm for text classification
Counterfactual Forecasting of Human Behavior using Generative AI and Causal Graphs
