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» On Fitting Mixture Models
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DAC
2007
ACM
16 years 5 months ago
Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
Amith Singhee, Rob A. Rutenbar
HICSS
2009
IEEE
173views Biometrics» more  HICSS 2009»
15 years 11 months ago
Effects of Task Types and Communication Support Tools on E-Negotiation Performance: A Task-Technology Fit Perspective
The rapid growth of the Internet has made computer-mediated communication popular and the use of e-negotiation systems (ENS) has attracted great attention from researchers and pra...
Her-Sen Doong, Hui-Chih Wang, Chi-Kuang Hsieh
CAGD
2005
112views more  CAGD 2005»
15 years 4 months ago
Estimating differential quantities using polynomial fitting of osculating jets
This paper addresses the point-wise estimation of differential properties of a smooth manifold S--a curve in the plane or a surface in 3D--assuming a point cloud sampled over S is...
Frédéric Cazals, Marc Pouget
124
Voted
WEBI
2007
Springer
15 years 10 months ago
Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts
Collaborative filtering (CF) is one of the most successful approaches for recommendation. In this paper, we propose two hybrid CF algorithms, sequential mixture CF and joint mixtu...
Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaa...
NECO
2000
88views more  NECO 2000»
15 years 4 months ago
Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable, i.e., different values of the mixture parameters can correspond to exactly the...
Miguel Á. Carreira-Perpiñán, ...