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NIPS
2001
15 years 8 months ago
On the Convergence of Leveraging
We give an unified convergence analysis of ensemble learning methods including e.g. AdaBoost, Logistic Regression and the Least-SquareBoost algorithm for regression. These methods...
Gunnar Rätsch, Sebastian Mika, Manfred K. War...
ETS
2002
IEEE
132views Hardware» more  ETS 2002»
15 years 7 months ago
Theories for Deep Change in Affect-sensitive Cognitive Machines: A Constructivist Model
There is interplay between emotions and learning, but this interaction is far more complex than previous learning theories have articulated--this interplay interacts with other re...
Barry Kort, Rob Reilly
ICML
2006
IEEE
16 years 8 months ago
PAC model-free reinforcement learning
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
Alexander L. Strehl, Lihong Li, Eric Wiewiora, Joh...
ICML
2003
IEEE
16 years 8 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
ECTEL
2007
Springer
16 years 1 months ago
Exploiting Preference Queries for Searching Learning Resources
While the growing number of learning resources increases the choice for learners, it also makes it more and more difficult to find suitable courses. Thus, improved search capabili...
Fabian Abel, Eelco Herder, Philipp Kärger, Da...