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IJCAI
1989
15 years 7 months ago
Goal Ordering in Partially Ordered Plans
Partially ordered plans have not solved the goal ordering problem. Consider: a goal in a par­ tially ordered plan is an operator precondition that is not yet achieved; operators,...
Mark Drummond, Ken Currie
JMLR
2008
209views more  JMLR 2008»
15 years 6 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
EOR
2007
96views more  EOR 2007»
15 years 6 months ago
A balancing method and genetic algorithm for disassembly line balancing
Disassembly activities take place in various recovery operations including remanufacturing, recycling and disposal. The disassembly line is the best choice for automated disassemb...
Seamus M. McGovern, Surendra M. Gupta
JAIR
2000
102views more  JAIR 2000»
15 years 6 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
RTS
2000
143views more  RTS 2000»
15 years 6 months ago
Fast and Precise WCET Prediction by Separated Cache and Path Analyses
Precise run-time prediction suffers from a complexity problem when doing an integrated analysis. This problem is characterised by the conflict between an optimal solution and the c...
Henrik Theiling, Christian Ferdinand, Reinhard Wil...