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» Estimating software based on use case points
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ICML
2008
IEEE
16 years 5 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
EC
2008
164views ECommerce» more  EC 2008»
15 years 4 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
162
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ESEM
2009
ACM
15 years 11 months ago
Using security metrics coupled with predictive modeling and simulation to assess security processes
: © Using Security Metrics Coupled with Predictive Modeling and Simulation to Assess Security Processes Yolanta Beres, Marco Casassa Mont, Jonathan Griffin, Simon Shiu HP Laborato...
Yolanta Beres, Marco Casassa Mont, Jonathan Griffi...
CSDA
2007
106views more  CSDA 2007»
15 years 4 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
MICAI
2004
Springer
15 years 10 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio