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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...
CALCO
2009
Springer
138views Mathematics» more  CALCO 2009»
16 years 1 months ago
Kleene Monads: Handling Iteration in a Framework of Generic Effects
Abstract. Monads are a well-established tool for modelling various computational effects. They form the semantic basis of Moggi’s computational metalanguage, the metalanguage of ...
Sergey Goncharov, Lutz Schröder, Till Mossako...
POPL
2009
ACM
16 years 7 months ago
Focusing on pattern matching
In this paper, we show how pattern matching can be seen to arise from a proof term assignment for the focused sequent calculus. This use of the Curry-Howard correspondence allows ...
Neelakantan R. Krishnaswami
RECOMB
2001
Springer
16 years 6 months ago
Applications of generalized pair hidden Markov models to alignment and gene finding problems
Hidden Markov models (HMMs) have been successfully applied to a variety of problems in molecular biology, ranging from alignment problems to gene nding and annotation. Alignment p...
Lior Pachter, Marina Alexandersson, Simon Cawley
ICFP
2003
ACM
16 years 6 months ago
MLF: raising ML to the power of system F
We propose a type system MLFthat generalizes ML with first-class polymorphism as in System F. Expressions may contain secondorder type annotations. Every typable expression admits...
Didier Le Botlan, Didier Rémy