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...
We present a unified environment for running declarative specifications in the context of an imperative object-oriented programming language. Specifications are Alloy-like, wri...
Aleksandar Milicevic, Derek Rayside, Kuat Yessenov...
Object ownership is useful for many applications, including program verification, thread synchronization, and memory management. However, the annotation overhead of ownership type...
We develop logical mechanisms and decision procedures to facilitate the verification of full functional properties of inductive tree data-structures using recursion that are soun...
Parthasarathy Madhusudan, Xiaokang Qiu, Andrei Ste...
Background: Genome sequencing projects have expanded the gap between the amount of known protein sequences and structures. The limitations of current high resolution structure det...
Kasper Stovgaard, Christian Andreetta, Jesper Ferk...