Sciweavers

AAAI
2011
12 years 11 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith
ISMIS
2011
Springer
13 years 2 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
Marcin Czajkowski, Marek Kretowski
JMLR
2010
118views more  JMLR 2010»
13 years 6 months ago
Dirichlet Process Mixtures of Generalized Linear Models
We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...
Lauren Hannah, David M. Blei, Warren B. Powell
WWW
2011
ACM
13 years 6 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
PPSN
2010
Springer
13 years 10 months ago
Globally Induced Model Trees: An Evolutionary Approach
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...
Marcin Czajkowski, Marek Kretowski
CSDA
2004
77views more  CSDA 2004»
13 years 11 months ago
Variable selection bias in regression trees with constant fits
The greedy search approach to variable selection in regression trees with constant fits is considered. At each node, the method usually compares the maximally selected statistic a...
Yu-Shan Shih, Hsin-Wen Tsai
ICAISC
2010
Springer
14 years 4 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees
In the paper a new evolutionary algorithm for induction of univariate regression trees is proposed. In contrast to typical top-down approaches it globally searches for the best tre...
Marek Kretowski, Marcin Czajkowski
EPIA
2005
Springer
14 years 5 months ago
Adapting Peepholing to Regression Trees
This paper presents an adaptation of the peepholing method to regression trees. Peepholing was described as a means to overcome the major computational bottleneck of growing classi...
Luís Torgo, Joana Marques
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
14 years 6 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
ICML
1997
IEEE
15 years 9 days ago
An adaptation of Relief for attribute estimation in regression
Heuristic measures for estimating the quality of attributes mostly assume the independence of attributes so in domains with strong dependencies between attributes their performanc...
Marko Robnik-Sikonja, Igor Kononenko