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» Using Random Forests in the Structured Language Model
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ICML
2005
IEEE
15 years 10 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
POPL
2008
ACM
15 years 10 months ago
Multiparty asynchronous session types
Communication is becoming one of the central elements in software development. As a potential typed foundation for structured communication-centred programming, session types have...
Kohei Honda, Nobuko Yoshida, Marco Carbone
ICS
2010
Tsinghua U.
15 years 2 months ago
Handling task dependencies under strided and aliased references
The emergence of multicore processors has increased the need for simple parallel programming models usable by nonexperts. The ability to specify subparts of a bigger data structur...
Josep M. Pérez, Rosa M. Badia, Jesús...
ISBI
2008
IEEE
15 years 10 months ago
Knee reconstruction through efficient linear programming
In this paper we propose a novel method to recover the 3D shape of the knee and of the prosthesis for the patients that have undergone total knee replacement surgery. We address t...
Mihai Sardarescu, Nikos Paragios, Nikos Komodakis,...
WWW
2006
ACM
15 years 10 months ago
Beyond PageRank: machine learning for static ranking
Since the publication of Brin and Page's paper on PageRank, many in the Web community have depended on PageRank for the static (query-independent) ordering of Web pages. We s...
Matthew Richardson, Amit Prakash, Eric Brill