1991 search results - page 33 / 399 » Small Models of Large Machines |
RT
2000
Springer
15 years 1 months ago
2000
Springer
We present the concept of hierarchical instantiation for radiosity. This new method enables an efficient, yet accurate determination of the illumination in very large scenes, wher...
ALT
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
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SIGMOD
2007
ACM
15 years 9 months ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Most of the existing approaches to collaborative filtering cannot handle very large data sets. In this paper we show how a class of two-layer undirected graphical models, called R...
SEMCO
2007
IEEE
15 years 4 months ago
2007
IEEE
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...