4930 search results - page 3 / 986 » Learning minimal abstractions |
ICMLA
2009
13 years 2 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
ICANNGA
2007
Springer
13 years 8 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...
CAI
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. We generalize a learning algorithm originally devised for deterministic all-accepting weighted tree automata (wta) to the setting of arbitrary deterministic wta. The lear...
VMCAI
2005
Springer
13 years 9 months ago
2005
Springer
Abstract. It is a hotly researching topic to eliminate irrelevant variables from counterexample, to make it easier to be understood. K Ravi proposes a two-stages counterexample min...
ICCS
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Using a scenario of multiple mobile observing platforms (UAVs) measuring weather variables in distributed regions of the Pacific, we are developing algorithms that will ...