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KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 3 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
SAIG
2000
Springer
15 years 3 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
ICS
2009
Tsinghua U.
15 years 4 months ago
Dynamic task set partitioning based on balancing memory requirements to reduce power consumption
ABSTRACT Because of technology advances power consumption has emerged up as an important design issue in modern high-performance microprocessors. As a consequence, research on redu...
Diana Bautista, Julio Sahuquillo, Houcine Hassan, ...
EOR
2007
101views more  EOR 2007»
14 years 11 months ago
Optimizing an objective function under a bivariate probability model
The motivation of this paper is to obtain an analytical closed form of a quadratic objective function arising from a stochastic decision process with bivariate exponential probabi...
Xavier Brusset, Nico M. Temme
HPCA
2008
IEEE
16 years 4 days ago
Address-branch correlation: A novel locality for long-latency hard-to-predict branches
Hard-to-predict branches depending on longlatency cache-misses have been recognized as a major performance obstacle for modern microprocessors. With the widening speed gap between...
Hongliang Gao, Yi Ma, Martin Dimitrov, Huiyang Zho...