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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...
CVPR
2007
IEEE
16 years 9 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 7 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 2 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
16 years 19 days 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