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ICML
2004
IEEE
14 years 9 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
NIPS
2004
13 years 10 months ago
Confidence Intervals for the Area Under the ROC Curve
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
Corinna Cortes, Mehryar Mohri
FPL
2009
Springer
85views Hardware» more  FPL 2009»
14 years 1 months ago
Generating high-performance custom floating-point pipelines
Custom operators, working at custom precisions, are a key ingredient to fully exploit the FPGA flexibility advantage for high-performance computing. Unfortunately, such operators...
Florent de Dinechin, Cristian Klein, Bogdan Pasca
GLVLSI
1998
IEEE
124views VLSI» more  GLVLSI 1998»
14 years 26 days ago
Non-Refreshing Analog Neural Storage Tailored for On-Chip Learning
In this research, we devised a new simple technique for statically holding analog weights, which does not require periodic refreshing. It further contains a mechanism to locally u...
Bassem A. Alhalabi, Qutaibah M. Malluhi, Rafic A. ...
TSP
2010
13 years 3 months ago
Recursive least squares dictionary learning algorithm
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
Karl Skretting, Kjersti Engan