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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 3 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
121
Voted
ICML
2006
IEEE
16 years 3 months ago
Agnostic active learning
We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...
Maria-Florina Balcan, Alina Beygelzimer, John Lang...
119
Voted
ACL
2006
15 years 4 months ago
Learning Transliteration Lexicons from the Web
This paper presents an adaptive learning framework for Phonetic Similarity Modeling (PSM) that supports the automatic construction of transliteration lexicons. The learning algori...
Jin-Shea Kuo, Haizhou Li, Ying-Kuei Yang
131
Voted
ICMLA
2009
15 years 9 days ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
AAAI
1997
15 years 3 months ago
Machine Learning for Intelligent Systems
Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld ...
Pat Langley