Abstract. Hybridization is a reticulate evolutionary process. An established problem on hybridization is computing the minimum number of hybridization events, called the hybridizat...
Abstract. We present a language,Hybrid cc, for modeling hybrid systems compositionally. This language is declarative, with programs being understood as logical formulas that place ...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat,...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Probabilistic Horn abduction is a simple framework to combine probabilistic and logical reasoning into a coherent practical framework. The numbers can be consistently interpreted ...
Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...