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JMLR
2010
125views more  JMLR 2010»
14 years 10 months ago
Continuous Time Bayesian Network Reasoning and Learning Engine
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
Christian R. Shelton, Yu Fan, William Lam, Joon Le...
143
Voted
PEPM
2009
ACM
16 years 13 days ago
Bidirectional data-flow analyses, type-systematically
We show that a wide class of bidirectional data-flow analyses and program optimizations based on them admit declarative descriptions in the form of type systems. The salient feat...
Maria João Frade, Ando Saabas, Tarmo Uustal...
162
Voted
PPOPP
2005
ACM
15 years 9 months ago
Automated type-based analysis of data races and atomicity
Concurrent programs are notorious for containing errors that are difficult to reproduce and diagnose at run-time. This motivated the development of type systems that statically en...
Amit Sasturkar, Rahul Agarwal, Liqiang Wang, Scott...
131
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HASKELL
2006
ACM
15 years 9 months ago
Polymorphic variants in Haskell
In languages that support polymorphic variants, a single variant value can be passed to many contexts that accept different sets of constructors. Polymorphic variants are potenti...
Koji Kagawa
205
Voted
ALDT
2011
Springer
262views Algorithms» more  ALDT 2011»
14 years 3 months ago
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...