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ECML
2004
Springer
13 years 11 months ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok
CASCON
2001
148views Education» more  CASCON 2001»
13 years 8 months ago
A Pareto model for OLAP view size estimation
On Line Analytical Processing (OLAP) aims at gaining useful information quickly from large amounts of data residing in a data warehouse. To improve the quickness of response to qu...
Thomas P. Nadeau, Toby J. Teorey
WSC
1998
13 years 8 months ago
A Comparison of RESTART Implementations
The RESTART method is a widely applicable simulation technique for the estimation of rare event probabilities. The method is based on the idea to restart the simulation in certain...
Marnix J. J. Garvels, Dirk P. Kroese
SDM
2008
SIAM
197views Data Mining» more  SDM 2008»
13 years 8 months ago
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
ISLPED
1996
ACM
110views Hardware» more  ISLPED 1996»
13 years 11 months ago
Statistical estimation of average power dissipation in CMOS VLSI circuits using nonparametric techniques
In this paper, we present a new statistical technique for estimation of average power dissipation in digital circuits. Present statistical techniques estimate the average power ba...
Li-Pen Yuan, Chin-Chi Teng, Sung-Mo Kang