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ICML
2009
IEEE
16 years 6 months ago
Importance weighted active learning
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
Alina Beygelzimer, Sanjoy Dasgupta, John Langford

Book
534views
17 years 4 months ago
Neural Networks - A Systematic Introduction
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
Raul Rojas
LAMAS
2005
Springer
15 years 11 months ago
Multi-agent Relational Reinforcement Learning
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...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
IPM
2008
139views more  IPM 2008»
15 years 6 months ago
Complex adaptive filtering user profile using graphical models
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...
Yi Zhang 0001
ICALT
2006
IEEE
16 years 4 days ago
A Model for Interoperability in Computer Supported Collaborative Learning
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...
Georgios Kahrimanis, Andreas Papasalouros, Nikolao...