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» Convergent algorithms for collaborative filtering
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SIP
2001
13 years 6 months ago
Convergence acceleration of the LMS algorithm using successive data orthogonalization
We propose a new adaptive filtering algorithm whose convergence rate is very fast even for a highly correlated input signal. It is well-known that convergence rate gets worse when...
H.-C. Shin, W.-J. Song
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
13 years 10 months ago
Convergence Examples of a Filter-Based Evolutionary Algorithm
Abstract. We describe and critique the convergence properties of filterbased evolutionary pattern search algorithms (F-EPSAs). F-EPSAs implicitly use a filter to perform a multi-...
Lauren M. Clevenger, William E. Hart
IJCAI
2003
13 years 6 months ago
FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges
Proceedings of IJCAI 2003 In [15], Montemerlo et al. proposed an algorithm called FastSLAM as an efficient and robust solution to the simultaneous localization and mapping proble...
Michael Montemerlo, Sebastian Thrun, Daphne Koller...
RECSYS
2010
ACM
13 years 5 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
SIGIR
2008
ACM
13 years 5 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang