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» Estimation in covariate-adjusted regression
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ICCSA
2003
Springer
15 years 3 months ago
A Probabilistic Model for Predicting Software Development Effort
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
Parag C. Pendharkar, Girish H. Subramanian, James ...
VLSISP
2011
216views Database» more  VLSISP 2011»
14 years 4 months ago
Accurate Area, Time and Power Models for FPGA-Based Implementations
This paper presents accurate area, time, power estimation models for implementations using FPGAs from the Xilinx Virtex-2Pro family [1]. These models are designed to facilitate ef...
Lanping Deng, Kanwaldeep Sobti, Yuanrui Zhang, Cha...
INTERSPEECH
2010
14 years 4 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
JMLR
2010
104views more  JMLR 2010»
14 years 4 months ago
Increasing Feature Selection Accuracy for L1 Regularized Linear Models
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic
NIPS
2007
14 years 11 months ago
Supervised Topic Models
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
David M. Blei, Jon D. McAuliffe