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PRL
2008
161views more  PRL 2008»
13 years 7 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
EUROPAR
2006
Springer
13 years 11 months ago
Hierarchical Model Validation of Symbolic Performance Models of Scientific Kernels
Multi-resolution validation of hierarchical performance models of scientific applications is critical primarily for two reasons. First, the step-by-step validation determines the c...
Sadaf R. Alam, Jeffrey S. Vetter
AAAI
2006
13 years 9 months ago
A Simple and Effective Method for Incorporating Advice into Kernel Methods
We propose a simple mechanism for incorporating advice (prior knowledge), in the form of simple rules, into support-vector methods for both classification and regression. Our appr...
Richard Maclin, Jude W. Shavlik, Trevor Walker, Li...
RTCSA
1995
IEEE
13 years 11 months ago
A timeliness-guaranteed kernel model-DREAM kernel-and implementation techniques
: An essential building-block for construction of future real-time computer systems (RTCS’s) is a timeliness-guaranteed operating system. The first co-author recently formulated ...
K. H. (Kane) Kim, Luiz F. Bacellar, Yuseok Kim, Ch...
NIPS
2001
13 years 9 months ago
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
Roni Khardon, Dan Roth, Rocco A. Servedio