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AAAI
2011
12 years 10 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
BMCBI
2010
140views more  BMCBI 2010»
13 years 10 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
NN
1998
Springer
13 years 9 months ago
Statistical estimation of the number of hidden units for feedforward neural networks
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
Osamu Fujita
ESANN
2008
13 years 11 months ago
A multiple testing procedure for input variable selection in neural networks
In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
Michele La Rocca, Cira Perna
ICASSP
2008
IEEE
14 years 4 months ago
Accurate models for estimating area and power of FPGA implementations
This paper presents accurate area and power estimation models for implementations using FPGAs from the Xilinx Virtex-2Pro family. These models are designed to facilitate efficien...
Lanping Deng, Kanwaldeep Sobti, Chaitali Chakrabar...