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ESOP
2011
Springer
14 years 10 months ago
Measure Transformer Semantics for Bayesian Machine Learning
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...
Johannes Borgström, Andrew D. Gordon, Michael...
ICSE
2011
IEEE-ACM
14 years 10 months ago
Unifying execution of imperative and declarative code
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...
197
Voted
ECOOP
2011
Springer
14 years 6 months ago
Tunable Static Inference for Generic Universe Types
Object ownership is useful for many applications, including program verification, thread synchronization, and memory management. However, the annotation overhead of ownership type...
Werner Dietl, Michael D. Ernst, Peter Müller
156
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POPL
2012
ACM
14 years 2 months ago
Recursive proofs for inductive tree data-structures
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...
BMCBI
2010
208views more  BMCBI 2010»
15 years 7 months ago
Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models
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...