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KDD
2000
ACM
149views Data Mining» more  KDD 2000»
14 years 14 days ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
CSREAESA
2003
13 years 10 months ago
Common Mistakes in Adiabatic Logic Design and How to Avoid Them
Most so-called “adiabatic” digital logic circuit families reported in the low-power design literature are actually not truly adiabatic, in that they do not satisfy the general...
Michael P. Frank
OPODIS
2004
13 years 10 months ago
Self-optimizing DHTs Using Request Profiling
S (in alphabetic order by speaker surname) Speaker: Uri Abraham (Ben-Gurion University) Title: Self-Stabilizing TimeStamps : Speaker: Anish Arora (Ohio State) Title: Self-Stabilizi...
Alina Bejan, Sukumar Ghosh
NIPS
2000
13 years 10 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
NAACL
1994
13 years 10 months ago
The Hub and Spoke Paradigm for CSR Evaluation
In this paper, we introduce the new paradigm used in the most recent ARPA-sponsoredContinuousSpeech Recognition(CSR) evaluation and then discuss the important features of the test...
Francis Kubala, Jerome R. Bellegarda, Jordan Cohen...