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ICML
2007
IEEE
14 years 10 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
ICMLA
2009
13 years 7 months ago
Discovering Rules from Disk Events for Predicting Hard Drive Failures
Detecting impending failure of hard disks is an important prediction task which might help computer systems to prevent loss of data and performance degradation. Currently most of t...
Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale ...
AFPAC
2000
Springer
341views Mathematics» more  AFPAC 2000»
14 years 2 months ago
An Associative Perception-Action Structure Using a Localized Space Variant Information Representation
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
Gösta H. Granlund
ACL
1996
13 years 11 months ago
Unsupervised Learning of Word-Category Guessing Rules
Words unknown to the lexicon present a substantial problem to part-of-speech tagging. In this paper we present a technique for fully unsupervised statistical acquisition of rules ...
Andrei Mikheev
ICDM
2002
IEEE
93views Data Mining» more  ICDM 2002»
14 years 2 months ago
Learning from Order Examples
We advocate a new learning task that deals with orders of items, and we call this the Learning from Order Examples (LOE) task. The aim of the task is to acquire the rule that is u...
Toshihiro Kamishima, Shotaro Akaho