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» Prediction from Partial Data, Renormalization, and Averaging
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ICWS
2009
IEEE
15 years 6 months ago
Adaptive Prefetching Scheme Using Web Log Mining in Cluster-Based Web Systems
The main memory management has been a critical issue to provide high performance in web cluster systems. To overcome the speed gap between processors and disks, many prefetch sche...
Heung Ki Lee, Baik Song An, Eun Jung Kim
MICRO
2006
IEEE
103views Hardware» more  MICRO 2006»
15 years 3 months ago
NoSQ: Store-Load Communication without a Store Queue
This paper presents NoSQ (short for No Store Queue), a microarchitecture that performs store-load communication without a store queue and without executing stores in the outof-ord...
Tingting Sha, Milo M. K. Martin, Amir Roth
CORR
2007
Springer
95views Education» more  CORR 2007»
14 years 9 months ago
Slope One Predictors for Online Rating-Based Collaborative Filtering
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with pred...
Daniel Lemire, Anna Maclachlan
DIS
2009
Springer
15 years 4 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
ICML
2005
IEEE
15 years 10 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...