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SIGIR
2009
ACM
16 years 1 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
SIGIR
2006
ACM
16 years 13 days ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
EXPCS
2007
15 years 10 months ago
Introducing entropies for representing program behavior and branch predictor performance
Predictors are inherent components of state-of-the-art microprocessors. Branch predictors are discussed actively from diverse perspectives. Performance of a branch predictor large...
Takashi Yokota, Kanemitsu Ootsu, Takanobu Baba
BMCBI
2008
136views more  BMCBI 2008»
15 years 6 months ago
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Background: When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be incl...
Harald Binder, Martin Schumacher
ICIP
2003
IEEE
16 years 8 months ago
Video coding using a deformation compensation algorithm based on adaptive matching pursuit image decompositions
Today's video codecs employ motion compensated prediction in combination with block matching techniques. These techniques, although achieving some level of adaptivity in thei...
Òscar Divorra Escoda, Pierre Vandergheynst