4930 search results - page 695 / 986 » Learning minimal abstractions |
222
click to vote
IJRR
2011
15 years 1 months ago
2011
Abstract People typically move and act under the constraints of an environment, making human behavior strongly place-dependent. Motion patterns, the places and the rates at which p...
201
click to vote
JCST
2010
15 years 1 months ago
2010
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
218
click to vote
AI
2011
Springer
14 years 10 months ago
2011
Springer
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
205
click to vote
JUCS
2011
15 years 1 months ago
2011
Abstract: Neural network learning approach for color image restoration has been discussed in this paper and one of the possible solutions for restoring images has been presented. H...
169
click to vote
Publication
Hyper-heuristics are new approaches which aim at raising the level of abstraction when solving combinatorial optimisation problems. In this paper we introduce a new hyper-heuristi...