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ICDM
2006
IEEE
146views Data Mining» more  ICDM 2006»
16 years 1 months ago
Boosting Kernel Models for Regression
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Ping Sun, Xin Yao
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
16 years 22 days ago
A Bernoulli Relational Model for Nonlinear Embedding
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. L...
ER
2003
Springer
86views Database» more  ER 2003»
16 years 10 days ago
An Interpolated Volume Model for Databases
In this paper we present a volume data model amenable to querying volumes in databases. Unlike most existing volume models, which are directed towards specific applications (notab...
Tianqiu Wang, Simone Santini, Amarnath Gupta
HASE
1998
IEEE
15 years 11 months ago
Log-Logistic Software Reliability Growth Model
Finite failure NHPP models proposed in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault, and are inadequate ...
Swapna S. Gokhale, Kishor S. Trivedi
PAMI
2008
182views more  PAMI 2008»
15 years 7 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann