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ECML
2005
Springer
14 years 3 months ago
Severe Class Imbalance: Why Better Algorithms Aren't the Answer
This paper argues that severe class imbalance is not just an interesting technical challenge that improved learning algorithms will address, it is much more serious. To be useful, ...
Chris Drummond, Robert C. Holte
NIPS
1996
13 years 11 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
ICASSP
2011
IEEE
13 years 1 months ago
Why word error rate is not a good metric for speech recognizer training for the speech translation task?
Speech translation (ST) is an enabling technology for cross-lingual oral communication. A ST system consists of two major components: an automatic speech recognizer (ASR) and a ma...
Xiaodong He, Li Deng, Alex Acero
HUC
1999
Springer
14 years 2 months ago
The Children's Machines: Handheld and Wearable Computers Too
In this paper we describe the material of a construction kit designed to allow children to build their own handheld and wearable devices to meet their interests and passions. Child...
Bakhtiar Mikhak, Fred Martin, Mitchel Resnick, Rob...
AAECC
2007
Springer
111views Algorithms» more  AAECC 2007»
13 years 10 months ago
When cache blocking of sparse matrix vector multiply works and why
Abstract. We present new performance models and a new, more compact data structure for cache blocking when applied to the sparse matrixvector multiply (SpM×V) operation, y ← y +...
Rajesh Nishtala, Richard W. Vuduc, James Demmel, K...