Sciweavers

2363 search results - page 126 / 473
» Learning Algorithms for Domain Adaptation
Sort
View
JMLR
2010
189views more  JMLR 2010»
14 years 9 months ago
Adaptive Step-size Policy Gradients with Average Reward Metric
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimot...
WEBI
2005
Springer
15 years 8 months ago
An Adaptive Architecture for Physical Agents
In this paper we describe ICARUS, an adaptive architecture for intelligent physical agents. We contrast the framework’s assumptions with those of earlier architectures, taking e...
Pat Langley
ACL
2010
15 years 1 months ago
Faster Parsing by Supertagger Adaptation
We propose a novel self-training method for a parser which uses a lexicalised grammar and supertagger, focusing on increasing the speed of the parser rather than its accuracy. The...
Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawbo...
ECTEL
2010
Springer
15 years 1 months ago
Learning from Erroneous Examples: When and How Do Students Benefit from Them?
We investigate whether erroneous examples in the domain of fractions can help students learn from common errors of other students presented in a computer-based system. Presenting t...
Dimitra Tsovaltzi, Erica Melis, Bruce M. McLaren, ...
TSP
2010
14 years 9 months ago
Recursive least squares dictionary learning algorithm
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
Karl Skretting, Kjersti Engan