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CSDA
2007
105views more  CSDA 2007»
13 years 8 months ago
Calculation of simplicial depth estimators for polynomial regression with applications
A fast algorithm for calculating the simplicial depth of a single parameter vector of a polynomial regression model is derived. Additionally, an algorithm for calculating the para...
R. Wellmann, S. Katina, Ch. H. Müller
ICML
1990
IEEE
14 years 22 days ago
An Incremental Method for Finding Multivariate Splits for Decision Trees
Decision trees that are limited to testing a single variable at a node are potentially much larger than trees that allow testing multiple variables at a node. This limitation redu...
Paul E. Utgoff, Carla E. Brodley
ICSM
1999
IEEE
14 years 1 months ago
Test Case Prioritization: An Empirical Study
Test case prioritization techniques schedule test cases for execution in an order that attempts to maximize some objective function. A variety of objective functions are applicabl...
Gregg Rothermel, Roland H. Untch, Chengyun Chu, Ma...
NPL
1998
135views more  NPL 1998»
13 years 8 months ago
Local Adaptive Subspace Regression
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
Sethu Vijayakumar, Stefan Schaal
JMLR
2002
106views more  JMLR 2002»
13 years 8 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...