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HPCA
2007
IEEE
14 years 8 months ago
Improving Branch Prediction and Predicated Execution in Out-of-Order Processors
If-conversion is a compiler technique that reduces the misprediction penalties caused by hard-to-predict branches, transforming control dependencies into data dependencies. Althou...
Eduardo Quiñones, Joan-Manuel Parcerisa, An...
TMI
2010
172views more  TMI 2010»
13 years 6 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
MSWIM
2003
ACM
14 years 1 months ago
Modeling multicast packet losses in wireless LANs
— The characteristics of wireless packet loss have been studied extensively. Most efforts focus on the temporal loss characteristics at individual stations. For multicast protoco...
Chiping Tang, Philip K. McKinley
CVPR
2004
IEEE
14 years 10 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 10 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi