Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a generat...
The problem of how a teacher and a learner can cooperate in the process of learning concepts from examples in order to minimize the required sample size without ācoding tricksā...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
Negotiation has been extensively discussed in gametheoretic, economic, and management science literatures for decades. Recent growing interest in electronic commerce has given inc...
We analyze generalization and learning in XCS with gradient descent. At ļ¬rst, we show that the addition of gradient in XCS may slow down learning because it indirectly decreases...
Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...