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ICPR
2008
IEEE
15 years 8 months ago
Relevant pattern selection for subspace learning
In this paper, we propose a scheme to improve the performance of subspace learning by using a pattern(data) selection method as preprocessing. Generally, a training set for subspa...
Jin Hee Na, Seok Min Yun, Minsoo Kim, Jin Young Ch...
ECML
2007
Springer
15 years 8 months ago
Learning from Relevant Tasks Only
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...
Samuel Kaski, Jaakko Peltonen
114
Voted
ERCIMDL
2003
Springer
145views Education» more  ERCIMDL 2003»
15 years 7 months ago
Reference Directed Indexing: Redeeming Relevance for Subject Search in Citation Indexes
Abstract. Citation indexes are valuable tools for research, in part because they provide a means with which to measure the relative impact of articles in a collection of scientifi...
Shannon Bradshaw
ICML
2009
IEEE
16 years 2 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
SDM
2009
SIAM
154views Data Mining» more  SDM 2009»
15 years 11 months ago
AMORI: A Metric-Based One Rule Inducer.
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
Niklas Lavesson, Paul Davidsson