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DAGSTUHL
2004
15 years 7 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping
EMNLP
2006
15 years 7 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova
CRIWG
2003
15 years 7 months ago
Exploring Interaction Behaviour and Performance of Online Collaborative Learning Teams
Abstract. Studying and analysing the collaborative behaviour of online learning teams and how this behaviour is related and affects task performance is a complex process. This pap...
Thanasis Daradoumis, Fatos Xhafa, Joan Manuel Marq...
AAAI
1994
15 years 7 months ago
Small is Beautiful: A Brute-Force Approach to Learning First-Order Formulas
We describe a method for learning formulas in firstorder logic using a brute-force, smallest-first search. The method is exceedingly simple. It generates all irreducible well-form...
Steven Minton, Ian Underwood
AAMAS
2007
Springer
15 years 6 months ago
Shaping multi-agent systems with gradient reinforcement learning
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
Olivier Buffet, Alain Dutech, François Char...