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» A Boosting Algorithm for Regression
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IFE
2010
161views more  IFE 2010»
15 years 1 months ago
Adaptive estimation and prediction of power and performance in high performance computing
Power consumption has become an increasingly important constraint in high-performancecomputing systems, shifting the focus from peak performance towards improving power efficiency...
Reza Zamani, Ahmad Afsahi
168
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EMNLP
2010
15 years 17 days ago
Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Jordan L. Boyd-Graber, Philip Resnik
114
Voted
JMLR
2011
117views more  JMLR 2011»
14 years 9 months ago
Parameter Screening and Optimisation for ILP using Designed Experiments
Reports of experiments conducted with an Inductive Logic Programming system rarely describe how specific values of parameters of the system are arrived at when constructing model...
Ashwin Srinivasan, Ganesh Ramakrishnan
132
Voted
JMLR
2011
148views more  JMLR 2011»
14 years 9 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
157
Voted
JIPS
2010
159views more  JIPS 2010»
14 years 9 months ago
A Dynamic Approach to Estimate Change Impact using Type of Change Propagation
Software evolution is an ongoing process carried out with the aim of extending base applications either for adding new functionalities or for adapting software to changing environm...
Chetna Gupta, Yogesh Singh, Durg Singh Chauhan