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» Learning Dependencies between Case Frame Slots
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AI
1998
Springer
13 years 6 months ago
Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper bounds on the absolute loss for the Perceptron le...
Tom Bylander
WCNC
2008
IEEE
14 years 19 days ago
Optimal Strategies for Cooperative MAC-Layer Retransmission in Wireless Networks
—The concept of cooperative retransmission in wireless networks has attracted considerable research attention. The basic idea is that when a receiver cannot decode a frame, the r...
Lixiang Xiong, Lavy Libman, Guoqiang Mao
ECML
2006
Springer
13 years 10 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo
ICCBR
2005
Springer
13 years 11 months ago
On the Effectiveness of Automatic Case Elicitation in a More Complex Domain
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
Siva N. Kommuri, Jay H. Powell, John D. Hastings
COLT
2006
Springer
13 years 10 months ago
Memory-Limited U-Shaped Learning
U-shaped learning is a learning behaviour in which the learner first learns a given target behaviour, then unlearns it and finally relearns it. Such a behaviour, observed by psych...
Lorenzo Carlucci, John Case, Sanjay Jain, Frank St...