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» Gaussian Processes in Machine Learning
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ICCS
2005
Springer
14 years 2 months ago
On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning
The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...
Georgios Paliouras
EMNLP
2008
13 years 10 months ago
Arabic Named Entity Recognition using Optimized Feature Sets
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
Yassine Benajiba, Mona T. Diab, Paolo Rosso
ICML
2009
IEEE
14 years 9 months ago
GAODE and HAODE: two proposals based on AODE to deal with continuous variables
AODE (Aggregating One-Dependence Estimators) is considered one of the most interesting representatives of the Bayesian classifiers, taking into account not only the low error rate...
Ana M. Martínez, José A. Gáme...
COLT
2000
Springer
14 years 1 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
ECTEL
2006
Springer
14 years 21 days ago
Towards a Holistic Personalised Support for Knowledge Sharing in Virtual Learning Communities
Virtual learning communities bring together people from diverse backgrounds and provide the basis for knowledge construction and sharing. Important processes for the community to f...
Styliani Kleanthous, Vania Dimitrova