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ICML
2008
IEEE
14 years 9 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih
AIPS
2004
13 years 10 months ago
Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Branislav Kveton, Milos Hauskrecht
HICSS
2003
IEEE
90views Biometrics» more  HICSS 2003»
14 years 1 months ago
Enterprise Wide Development - A Survey of Critical Factors for Co-Ordinated Development in Complex Organizations: What Developme
This paper describes critical factors for co-ordinated enterprise and IS/IT development and change in complex organizations in Sweden. These factors represent an answer on the cru...
Magnus Holmqvist, Håkan Enquist
IJMMS
2006
171views more  IJMMS 2006»
13 years 8 months ago
The role of moderating factors in user technology acceptance
Along with increasing investments in new technologies, user technology acceptance becomes a frequently studied topic in the information systems discipline. The last two decades ha...
Heshan Sun, Ping Zhang 0002
DAGSTUHL
2007
13 years 10 months ago
Assisted Living Systems: Human Factors Considerations
Although many older adults wish to live independently, remaining in their own homes as long as possible, they may face obstacles such as transportation issues, social isolation, up...
Johnell O. Brooks