149 search results - page 20 / 30 » Maximum Likelihood Learning of Conditional MTE Distributions |
COGSCI
2007
13 years 7 months ago
2007
Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that la...
ICRA
2003
IEEE
14 years 20 days ago
2003
IEEE
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
TSP
2010
13 years 2 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
JMLR
2012
11 years 9 months ago
2012
We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
TNN
2008
13 years 7 months ago
2008
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...