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NIPS
2001
13 years 10 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
PPSN
1992
Springer
14 years 1 months ago
Structure Evolution and Incomplete Induction
We present an application of arti cial neural networks to machine condition monitoring. Since several signal preprocessing methods produce high dimensional feature vectors there i...
Reinhard Lohmann
CASES
2006
ACM
14 years 3 months ago
Supporting precise garbage collection in Java Bytecode-to-C ahead-of-time compiler for embedded systems
A Java bytecode-to-C ahead-of-time compiler (AOTC) can improve the performance of a Java virtual machine (JVM) by translating bytecode into C code, which is then compiled into mac...
Dong-Heon Jung, Sung-Hwan Bae, Jaemok Lee, Soo-Moo...
IS
2007
13 years 9 months ago
A co-training framework for searching XML documents
In this paper, we study the use of XML tagged keywords (or simply key-tags) to search an XML fragment in a collection of XML documents. We present techniques that are able to empl...
Wilfred Ng, Ho Lam Lau
KBS
2007
86views more  KBS 2007»
13 years 9 months ago
Automatic species identification of live moths
A collection consisting of the images of 774 live moth individuals, each moth belonging to one of 35 different UK species, was analysed to determine if data mining techniques could...
Michael Mayo, Anna T. Watson