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» Inducing Polynomial Equations for Regression
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126
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ECML
2004
Springer
15 years 9 months ago
Inducing Polynomial Equations for Regression
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
Ljupco Todorovski, Peter Ljubic, Saso Dzeroski
142
Voted
JCT
2010
112views more  JCT 2010»
15 years 2 months ago
More on block intersection polynomials and new applications to graphs and block designs
The concept of intersection numbers of order r for t-designs is generalized to graphs and to block designs which are not necessarily t-designs. These intersection numbers satisfy ...
Leonard H. Soicher
126
Voted
SODA
2008
ACM
112views Algorithms» more  SODA 2008»
15 years 5 months ago
The effect of induced subgraphs on quasi-randomness
One of the main questions that arise when studying random and quasi-random structures is which properties P are such that any object that satisfies P "behaves" like a tr...
Asaf Shapira, Raphael Yuster
169
Voted
NIPS
2008
15 years 5 months ago
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Ben Calderhead, Mark Girolami, Neil D. Lawrence
EWC
2007
93views more  EWC 2007»
15 years 3 months ago
Approximation of involute curves for CAD-system processing
In numerous instances, accurate algorithms for approximating the original geometry is required. One typical example is a circle involute curve which represents the underlying geom...
Fumitaka Higuchi, Shuichi Gofuku, Takashi Maekawa,...