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ICNC
2005
Springer
14 years 4 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
EDUTAINMENT
2006
Springer
14 years 2 months ago
A Theatre of Ethics and Interaction? Bertolt Brecht and Learning to Behave in First-Person Shooter Environments
This paper explores the nature of player behaviour in game environments in relation to the methodology of the dramatist Bertolt Brecht. Firstly, a conceptualisation of how manipula...
Dan Pinchbeck
ICML
2010
IEEE
13 years 12 months ago
A Conditional Random Field for Multiple-Instance Learning
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...
Thomas Deselaers, Vittorio Ferrari
ICML
2009
IEEE
13 years 8 months ago
Multiple indefinite kernel learning with mixed norm regularization
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
Matthieu Kowalski, Marie Szafranski, Liva Ralaivol...
ICML
2007
IEEE
14 years 11 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch