2440 search results - page 285 / 488 » Abstraction Learning |
KDD
2007
ACM
14 years 11 months ago
2007
ACM
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
ICANN
2005
Springer
14 years 4 months ago
2005
Springer
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
ICANNGA
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
MCS
2002
Springer
13 years 10 months ago
2002
Springer
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...