Cs-Lg
Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots
Learning to Make Predictions In Partially Observable Environments Without a Generative Model
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Near-Optimal BRL using Optimistic Local Transitions
On When and How to use SAT to Mine Frequent Itemsets
Parallel Spectral Clustering Algorithm Based on Hadoop
Performance Evaluation of Machine Learning Classifiers in Sentiment Mining
Polarization Measurement of High Dimensional Social Media Messages With Support Vector Machine Algorithm Using Mapreduce
PSMACA: An Automated Protein Structure Prediction Using MACA (Multiple Attractor Cellular Automata)
Random Utility Theory for Social Choice
Recognizing Extended Spatiotemporal Expressions by Actively Trained Average Perceptron Ensembles
Research: Analysis of Transport Model that Approximates Decision Takers Preferences
Runtime Optimizations for Prediction with Tree-Based Models
SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data
Sports highlights generation based on acoustic events detection: A rugby case study
Statistical Results on Filtering and Epi-convergence for Learning-Based Model Predictive Control
Studying the control of non invasive prosthetic hands over large time spans
The Power of Linear Reconstruction Attacks
Two-Way Latent Grouping Model for User Preference Prediction
