Muhiagent systems (MAS) can "go down" for a large number of reasons, ranging from system malfunctions and power failures to malicious attacks. The placement of agents on...
Parameters of statistical distributions that are input to simulations are typically not known with certainty. For existing systems, or variations on existing systems, they are oft...
The use of heuristics as a means to improve constraint solver performance has been researched widely. However, most work has been on problem-independentheuristics (e.g., variable ...
Lise Getoor, Greger Ottosson, Markus P. J. Fromher...
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...