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AAAI
2010
15 years 8 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
WSC
2004
15 years 8 months ago
Make-to-Stock Systems with Backorders: IPA Gradients
We consider single-stage, single-product Make-to-Stock systems with random demand and random service (production) rate, where demand shortages at the inventory facility are backor...
Yao Zhao, Benjamin Melamed
JAIR
1998
198views more  JAIR 1998»
15 years 6 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
ICIP
1998
IEEE
15 years 11 months ago
Image Warping using Adaptive Partial Matching
The block-matching motion estimation algorithm using a translational motion model cannot provide acceptable image quality in low bit-rate coding. To improve coding performance, we ...
Dong-Keun Lim, Yo-Sung Ho
WSC
2008
15 years 9 months ago
Linking ergonomics simulation to production process development
Production development can conflict with production ergonomics and management of environmental impacts. In this paper, we describe how ergonomics can be assessed in production sys...
Salla Lind, Boris Krassi, Juhani Viitaniemi, Sauli...