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ESOP
2011
Springer
14 years 9 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...
CVPR
2007
IEEE
16 years 8 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
POPL
2007
ACM
16 years 6 months ago
Specialization of CML message-passing primitives
Concurrent ML (CML) is a statically-typed higher-order concurrent language that is embedded in Standard ML. Its most notable feature is its support for first-class synchronous ope...
John H. Reppy, Yingqi Xiao
PLDI
2009
ACM
16 years 1 months ago
On PDG-based noninterference and its modular proof
We present the first machine-checked correctness proof for information flow control (IFC) based on program dependence graphs (PDGs). IFC based on slicing and PDGs is flow-sensi...
Daniel Wasserrab, Denis Lohner, Gregor Snelting
KR
2004
Springer
15 years 11 months ago
Updating of a Possibilistic Knowledge Base by Crisp or Fuzzy Transition Rules
In this paper, partial knowledge about the possible transitions which can take place in a dynamical environment is represented by a set of pairs of propositional formulae, with th...
Boris Mailhé, Henri Prade