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,...
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...
Disassembly activities take place in various recovery operations including remanufacturing, recycling and disposal. The disassembly line is the best choice for automated disassemb...
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...
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...