Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
The key to increasing performance without a commensurate increase in power consumption in modern processors lies in increasing both parallelism and core specialization. Core speci...
It is known that Constraint Satisfaction Problems (CSP) can be converted into Boolean Satisfiability problems (SAT); however how to encode a CSP into a SAT problem such that a SAT...
System software for deeply embedded devices has to cope with a broad variety of requirements and platforms, but especially with strict resource constraints. To compete against prop...
To solve real-world discrete optimization problems approximately metaheuristics such as simulated annealing and other local search methods are commonly used. For large instances o...