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TKDE
2010
224views more  TKDE 2010»
15 years 4 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
273
Voted
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 9 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
IJCAI
1989
15 years 7 months ago
A Critique of the Valiant Model
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
Wray L. Buntine
CVPR
2004
IEEE
16 years 8 months ago
Automatic Cascade Training with Perturbation Bias
Face detection methods based on a cascade architecture have demonstrated fast and robust performance. Cascade learning is aided by the modularity of the architecture in which node...
Jie Sun, James M. Rehg, Aaron F. Bobick
ICALT
2009
IEEE
16 years 27 days ago
An Approach for Visually Supporting the Creation of Personal Development Plans
Personal Development Plans (PDP) have positive effects in learners’ motivation and confidence since they enable individuals to reflect upon their own learning and to plan for th...
Javier Melero, Davinia Hernández Leo, Ernes...