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NIPS
2008
15 years 4 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
ICML
2009
IEEE
16 years 3 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
ICSE
2004
IEEE-ACM
16 years 3 months ago
Design of Large-Scale Polylingual Systems
Abstract. Building systems from existing applications written in two or more languages is common practice. Such systems are polylingual. Polylingual systems are relatively easy to ...
Mark Grechanik, Don S. Batory, Dewayne E. Perry
EUROPAR
2007
Springer
15 years 6 months ago
Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers
To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
Hans E. Plesser, Jochen M. Eppler, Abigail Morriso...
CC
2008
Springer
130views System Software» more  CC 2008»
15 years 5 months ago
IDE Dataflow Analysis in the Presence of Large Object-Oriented Libraries
Abstract. A key scalability challenge for interprocedural dataflow analysis comes from large libraries. Our work addresses this challenge for the general category of interprocedura...
Atanas Rountev, Mariana Sharp, Guoqing Xu