Sciweavers

1859 search results - page 217 / 372
» Using Problems to Learn Service-Oriented Computing
Sort
View
140
Voted
SC
2003
ACM
15 years 10 months ago
GridSAT: A Chaff-based Distributed SAT Solver for the Grid
We present GridSAT, a parallel and complete satisfiability solver designed to solve non-trivial SAT problem instances using a large number of widely distributed and heterogeneous...
Wahid Chrabakh, Richard Wolski
ATAL
2007
Springer
15 years 11 months ago
Sharing experiences to learn user characteristics in dynamic environments with sparse data
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
David Sarne, Barbara J. Grosz
164
Voted
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 9 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
NIPS
2000
15 years 6 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek
145
Voted
SCVMA
2004
Springer
15 years 10 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic