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» Model Uncertainty in Classical Conditioning
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NIPS
1998
15 years 1 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
95
Voted
TON
2010
127views more  TON 2010»
14 years 7 months ago
Approximation Algorithms for Wireless Link Scheduling With SINR-Based Interference
In this paper, we consider the classical problem of link scheduling in wireless networks under an accurate interference model, in which correct packet reception at a receiver node ...
Douglas M. Blough, Giovanni Resta, Paolo Santi
IJCNN
2007
IEEE
15 years 6 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
98
Voted
COLT
2005
Springer
15 years 6 months ago
Learnability of Bipartite Ranking Functions
The problem of ranking, in which the goal is to learn a real-valued ranking function that induces a ranking or ordering over an instance space, has recently gained attention in mac...
Shivani Agarwal, Dan Roth
90
Voted
SIGGRAPH
2000
ACM
15 years 4 months ago
Sampling plausible solutions to multi-body constraint problems
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
Stephen Chenney, David A. Forsyth