Learning Performance of Prediction Markets with Kelly Bettors

Learning Polynomial Networks for Classification of Clinical Electroencephalograms

Learning Probabilistic Hierarchical Task Networks to Capture User Preferences

Learning RoboCup-Keepaway with Kernels

Learning to automatically detect features for mobile robots using second-order Hidden Markov Models

Learning to Bluff

Learning to Coordinate Efficiently: A Model-based Approach

Learning to Order BDD Variables in Verification

Learning to Rank Query Recommendations by Semantic Similarities

Learning unbelievable marginal probabilities

Learning under Concept Drift: an Overview

Learning Undirected Graphical Models with Structure Penalty

Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction

Learning where to Attend with Deep Architectures for Image Tracking

Learning Why Things Change: The Difference-Based Causality Learner

Learning, Social Intelligence and the Turing Test - why an "out-of-the-box" Turing Machine will not pass the Turing Test

Les représentations génétiques d'objets : simples analogies ou modèles pertinents ? Le point de vue de l' "évolutique".<br>–––<br>Genetic representations of objects : simple analogies or efficient models ? The "evolutic" point of vi

Less is More - Genetic Optimisation of Nearest Neighbour Classifiers

Leveraging Usage Data for Linked Data Movie Entity Summarization

LEXSYS: Architecture and Implication for Intelligent Agent systems