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ML
2006
ACM
109views Machine Learning» more  ML 2006»
13 years 8 months ago
Cost curves: An improved method for visualizing classifier performance
Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
Chris Drummond, Robert C. Holte
GLOBECOM
2008
IEEE
14 years 2 months ago
Low-Complexity Maximum Likelihood Detection of Orthogonal Space-Time Block Codes
Abstract— In this paper, we propose a low complexity Maximum Likelihood (ML) decoding algorithm for orthogonal spacetime block codes (OSTBCs) based on the real-valued lattice rep...
Luay Azzam, Ender Ayanoglu
ICDE
2009
IEEE
153views Database» more  ICDE 2009»
14 years 10 months ago
Efficient Distribution of Full-Fledged XQuery
Abstract-- We investigate techniques to automatically decompose any XQuery query into subqueries, that can be executed near their data sources; i.e., function-shipping. In this sce...
Ying Zhang, Nan Tang, Peter A. Boncz
INFOCOM
2012
IEEE
11 years 11 months ago
Realizing the full potential of PSM using proxying
Abstract—The WiFi radio in smartphones consumes a significant portion of energy when active. To reduce the energy consumption, the Power Saving Mode was standardized in IEEE 802...
Ning Ding, Abhinav Pathak, Dimitrios Koutsonikolas...
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 8 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...