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SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
16 years 3 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
16 years 1 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
ILP
2005
Springer
16 years 7 days ago
Machine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Stephen Muggleton
PLDI
1995
ACM
15 years 10 months ago
Unifying Data and Control Transformations for Distributed Shared Memory Machines
We present a unified approach to locality optimization that employs both data and control transformations. Data transformations include changing the array layout in memory. Contr...
Michal Cierniak, Wei Li
IASTEDSE
2004
15 years 8 months ago
A symbolic Java virtual machine for test case generation
Quality management is becoming a more and more important part of the software development process. As software testing is currently understood as the core function of the quality ...
Roger A. Müller, Christoph Lembeck, Herbert K...