—A problem in technology mapping is that the quality of the final implementation depends significantly on the initially provided circuit structure. This problem is critical, es...
Eric Lehman, Yosinori Watanabe, Joel Grodstein, He...
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
To fulfill the requirement of fast interactive multidimensional data analysis, database systems precompute aggregate views on some subsets of dimensions and their corresponding hi...
Amit Shukla, Prasad Deshpande, Jeffrey F. Naughton