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» A Model Selection Approach for Local Learning
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JMLR
2012
11 years 10 months ago
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
CVPR
2010
IEEE
13 years 5 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
14 years 1 months ago
An Integrated Spatial Path-planning and Controller Design Approach for a Hover-mode Helicopter Model
— The objective of this paper is to design a controller based on a nonlinear hover-mode model for a helicopter, which can be seamlessly integrated in an existing spatial path-pla...
Kaustubh Pathak, Sunil Kumar Agrawal
ICASSP
2010
IEEE
13 years 7 months ago
Speech modeling based on committee-based active learning
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
Yuzu Hamanaka, Koichi Shinoda, Sadaoki Furui, Tada...
NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 7 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek