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» Learning with Few Examples by Transferring Feature Relevance
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NIPS
2000
14 years 11 months ago
Programmable Reinforcement Learning Agents
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
David Andre, Stuart J. Russell
ICMLA
2010
14 years 7 months ago
A New Approach to Classification with the Least Number of Features
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...
Sascha Klement, Thomas Martinetz
JCO
2010
75views more  JCO 2010»
14 years 8 months ago
A quadratic lower bound for Rocchio's similarity-based relevance feedback algorithm with a fixed query updating factor
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
Zhixiang Chen, Bin Fu, John Abraham
MICAI
2010
Springer
14 years 7 months ago
Towards Document Plagiarism Detection Based on the Relevance and Fragmentation of the Reused Text
Traditionally, External Plagiarism Detection has been carried out by determining and measuring the similar sections between a given pair of documents, known as source and suspiciou...
Fernando Sánchez-Vega, Luis Villaseñ...
CVPR
2005
IEEE
15 years 11 months ago
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
Qiang Sun, Gerald DeJong