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STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 4 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
AI
2002
Springer
15 years 3 months ago
The size distribution for Markov equivalence classes of acyclic digraph models
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Steven B. Gillispie, Michael D. Perlman
AIPS
2010
15 years 6 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
ASPDAC
2010
ACM
120views Hardware» more  ASPDAC 2010»
15 years 1 months ago
Wideband reduced modeling of interconnect circuits by adaptive complex-valued sampling method
In this paper, we propose a new wideband model order reduction method for interconnect circuits by using a novel adaptive sampling and error estimation scheme. We try to address t...
Hai Wang, Sheldon X.-D. Tan, Gengsheng Chen
TVCG
2012
195views Hardware» more  TVCG 2012»
13 years 6 months ago
Restricted Trivariate Polycube Splines for Volumetric Data Modeling
—This paper presents a volumetric modeling framework to construct a novel spline scheme called restricted trivariate polycube splines (RTP-splines). The RTP-spline aims to genera...
Kexiang Wang, Xin Li, Bo Li 0014, Huanhuan Xu, Hon...