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» Large Margin Classification Using the Perceptron Algorithm
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NIPS
2000
13 years 9 months ago
Active Support Vector Machine Classification
An active set strategy is applied to the dual of a simple reformulation of the standard quadratic program of a linear support vector machine. This application generates a fast new...
Olvi L. Mangasarian, David R. Musicant
CONEXT
2008
ACM
13 years 9 months ago
ISP-friendly peer matching without ISP collaboration
In peer-to-peer (P2P) systems, a receiver needs to be matched with multiple senders, because peers have limited capacity and reliability. Efficient peer matching can reduce the co...
Cheng-Hsin Hsu, Mohamed Hefeeda
ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
AGIS
2008
319views more  AGIS 2008»
13 years 7 months ago
An Efficient Algorithm for Raster-to-Vector Data Conversion
Data conversion from raster to vector (R2V) is a key function in Geographic Information Systems (GIS) and remote sensing (RS) image processing for integrating GIS and RS data. The...
Junhua Teng, Fahui Wang, Yu Liu
RECOMB
2003
Springer
14 years 8 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge