536 search results - page 98 / 108 » Residual Algorithms: Reinforcement Learning with Function Ap... |
COLT
2010
Springer
13 years 5 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
ALT
2011
Springer
12 years 7 months ago
2011
Springer
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
NIPS
2008
13 years 9 months ago
2008
We study the profit-maximization problem of a monopolistic market-maker who sets two-sided prices in an asset market. The sequential decision problem is hard to solve because the ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
GLOBECOM
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...