3250 search results - page 105 / 650 » Parameterized Learning Complexity |
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
199
Voted
Book
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
138
click to vote
LAMAS
2005
Springer
15 years 7 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
117
click to vote
IPM
2008
15 years 2 months ago
2008
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
116
click to vote
ICALT
2006
IEEE
15 years 8 months ago
2006
IEEE
Computer Supported Collaborative Learning activities involve combination of complex software tools that often need to interoperate in a wider context of learning. This paper propo...