We provide a method whereby, given mode and (upper approximation) type information, we can detect procedures and goals that can be guaranteed to not fail (i.e., to produce at leas...
The problem of how a teacher and a learner can cooperate in the process of learning concepts from examples in order to minimize the required sample size without ācoding tricksā...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
Symbolic regression is a popular genetic programming (GP) application. Typically, the ļ¬tness function for this task is based on a sum-of-errors, involving the values of the depe...
It is well known that optimal server placement is NP-hard. We present an approximate model for the case when both clients and servers are dense, and propose a simple server alloca...
We recast the Cosegmentation problem using Random Walker (RW) segmentation as the core segmentation algorithm, rather than the traditional MRF approach adopted in the literature s...
Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh