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ICML
2005
IEEE
16 years 7 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
ICML
2005
IEEE
16 years 7 months ago
Learning hierarchical multi-category text classification models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Craig Saunders, John Shawe-Taylor, Juho Rousu, S&a...
WMTE
2006
IEEE
16 years 10 days ago
Mobile Web Services for Collaborative Learning
Since learning nowadays is conceptualized as a social system within communities of practice, the best way to learn is with others, in groups. In the past few years, there has been...
Mohamed Amine Chatti, Satish Narayana Srirama, Dav...
194
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PCI
2005
Springer
15 years 12 months ago
Gossip-Based Greedy Gaussian Mixture Learning
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...
Nikos A. Vlassis, Yiannis Sfakianakis, Wojtek Kowa...
PG
2003
IEEE
15 years 11 months ago
Neural Meshes: Statistical Learning Based on Normals
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...