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» SMDS Measurements and Modeling to Predict Performance
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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 1 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
CIKM
2011
Springer
13 years 9 months ago
Simultaneous joint and conditional modeling of documents tagged from two perspectives
This paper explores correspondence and mixture topic modeling of documents tagged from two different perspectives. There has been ongoing work in topic modeling of documents with...
Pradipto Das, Rohini K. Srihari, Yun Fu
PDP
2006
IEEE
15 years 3 months ago
An Experimental Validation of the PRO Model for Parallel and Distributed Computation
— The Parallel Resource-Optimal (PRO) computation model was introduced by Gebremedhin et al. [2002] as a framework for the design and analysis of efficient parallel algorithms. ...
Mohamed Essaïdi, Jens Gustedt
POPL
2007
ACM
15 years 10 months ago
Locality approximation using time
Reuse distance (i.e. LRU stack distance) precisely characterizes program locality and has been a basic tool for memory system research since the 1970s. However, the high cost of m...
Xipeng Shen, Jonathan Shaw, Brian Meeker, Chen Din...
ICC
2009
IEEE
107views Communications» more  ICC 2009»
15 years 4 months ago
Dynamic Resource Modeling for Heterogeneous Wireless Networks
— High variability of access resources in heterogenous wireless networks and limited computing power and battery life of mobile computing devices such as smartphones call for nov...
Dimitrios Tsamis, Tansu Alpcan, Jatinder Pal Singh...