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SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
15 years 3 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley
ANNS
2007
15 years 3 months ago
Direct and indirect classification of high-frequency LNA performance using machine learning techniques
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
Peter C. Hung, Seán F. McLoone, Magdalena S...
ICALT
2007
IEEE
15 years 8 months ago
Designing Innovative Learning Activities Using Ubiquitous Computing
In this paper we present our pedagogical and technological approach for supporting the design of novel situated learning activities that can be conducted both, outside the school ...
Arianit Kurti, Marcelo Milrad, Daniel Spikol
102
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IDEAL
2007
Springer
15 years 8 months ago
Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning
Abstract. Much work has been done to identify species-specific proteins in sequenced genomes and hence to determine their function. We assumed that such proteins have specific ph...
Ali Al-Shahib, David Gilbert, Rainer Breitling
KDD
2006
ACM
181views Data Mining» more  KDD 2006»
16 years 2 months ago
Cryptographically private support vector machines
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
Helger Lipmaa, Sven Laur, Taneli Mielikäinen