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DIS
2008
Springer
13 years 10 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel
JAIR
2000
152views more  JAIR 2000»
13 years 8 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
AGENTS
1997
Springer
14 years 1 months ago
Integrating Communicative Action, Conversations and Decision Theory to Coordinate Agents
The coordination problem in multi-agent systems is the problem of managing dependencies between the activities of autonomous agents, in conditions of incomplete knowledge about th...
Mihai Barbuceanu, Mark S. Fox
JAR
2006
103views more  JAR 2006»
13 years 9 months ago
A Framework for Verifying Bit-Level Pipelined Machines Based on Automated Deduction and Decision Procedures
We describe an approach to verifying bit-level pipelined machine models using a combination of deductive reasoning and decision procedures. While theorem proving systems such as AC...
Panagiotis Manolios, Sudarshan K. Srinivasan
ICONIP
2009
13 years 6 months ago
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
Decision Tree Induction (DTI), one of the Data Mining classification methods, is used in this research for predictive problem solving in analyzing patient medical track records. In...
Rolly Intan, Oviliani Yenty Yuliana