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KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 9 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 9 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
14 years 9 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
VLSID
2005
IEEE
157views VLSI» more  VLSID 2005»
14 years 9 months ago
Energy Efficient Hardware Synthesis of Polynomial Expressions
Polynomial expressions are used to approximate a wide variety of functions commonly found in signal processing and computer graphics applications. Computing these polynomial expre...
Anup Hosangadi, Farzan Fallah, Ryan Kastner
HPCA
2006
IEEE
14 years 9 months ago
High performance file I/O for the Blue Gene/L supercomputer
Parallel I/O plays a crucial role for most data-intensive applications running on massively parallel systems like Blue Gene/L that provides the promise of delivering enormous comp...
Hao Yu, Ramendra K. Sahoo, C. Howson, G. Almasi, J...