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AAAI
2011
13 years 12 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
115
Voted
CORR
2007
Springer
132views Education» more  CORR 2007»
14 years 12 months ago
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps
In many real-world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable a se...
Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Go...
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 3 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 1 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
VTC
2007
IEEE
138views Communications» more  VTC 2007»
15 years 6 months ago
Applicability of UWB Double Directional Propagation Modeling for Evaluating UWB Transmission Performance
Abstract— This paper investigates the applicability of deterministic ultra wideband (UWB) propagation modeling for evaluating UWB system performances. The modeling explores the w...
Katsuyuki Haneda, Jun-ichi Takada, Takehiko Kobaya...