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MLDM
2009
Springer
14 years 3 months ago
The Needles-in-Haystack Problem
We consider a new data mining problem of detecting the members of a rare class of data, the needles, that have been hidden in a set of records, the haystack. Besides the haystack, ...
Katherine Moreland, Klaus Truemper
COLING
2002
13 years 8 months ago
Extracting Word Sequence Correspondences with Support Vector Machines
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
Kengo Sato, Hiroaki Saito
ICASSP
2011
IEEE
13 years 10 days ago
Non-linear tagging models with localist and distributed word representations
Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are ...
Sumit Chopra, Srinivas Bangalore
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
14 years 2 months ago
Dogged Learning for Robots
— Ubiquitous robots need the ability to adapt their behaviour to the changing situations and demands they will encounter during their lifetimes. In particular, non-technical user...
Daniel H. Grollman, Odest Chadwicke Jenkins
AH
2004
Springer
14 years 2 months ago
Swarm-Based Adaptation: Wayfinding Support for Lifelong Learners
This article introduces an approach to adaptive wayfinding support for lifelong learners based on self-organisation theory. It describes an architecture which supports the recordin...
Colin Tattersall, Bert van den Berg, René v...