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» Missing Data Estimation Using Polynomial Kernels
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88
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PROFES
2004
Springer
15 years 5 months ago
Effort Estimation Based on Collaborative Filtering
Effort estimation methods are one of the important tools for project managers in controlling human resources of ongoing or future software projects. The estimations require histori...
Naoki Ohsugi, Masateru Tsunoda, Akito Monden, Ken-...
143
Voted
ICANN
2009
Springer
15 years 5 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
110
Voted
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
15 years 7 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
AAAI
2000
15 years 1 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
107
Voted
ICIAP
2005
ACM
16 years 17 days ago
3D Surface Reconstruction from Scattered Data Using Moving Least Square Method
This paper presents an efficient implementation of moving least square(MLS) approximation for 3D surface reconstruction. The smoothness of the MLS is mainly determined by the weigh...
Soon-Jeong Ahn, Jaechil Yoo, Byung-Gook Lee, Joon-...