Cs-Lg
Distantly Labeling Data for Large Scale Cross-Document Coreference
Bayesian Query-Focused Summarization
Median K-flats for hybrid linear modeling with many outliers
Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling
Discovering general partial orders in event streams
A CHAID Based Performance Prediction Model in Educational Data Mining
Dictionary Identification - Sparse Matrix-Factorisation via $ell_1$-Minimisation
AI-Integrated Decision Support System for Real-Time Market Growth Forecasting and Multi-Source Content Diffusion Analytics
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary $beta$-Mixing Processes
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
Efficient Minimization of Decomposable Submodular Functions
Safe Feature Elimination for the LASSO and Sparse Supervised Learning Problems
Visual object categorization with new keypoint-based adaBoost features
Regularized Risk Minimization by Nesterovs Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies
Blackwell Approachability and Low-Regret Learning are Equivalent
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Training a Large Scale Classifier with the Quantum Adiabatic Algorithm
The Sample Complexity of Dictionary Learning
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
Using Contextual Information as Virtual Items on Top-N Recommender Systems
Learning image transformations without training examples
Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor
