11 years 9 months ago
Predicting performance via automated feature-interaction detection
Abstract—Customizable programs and program families provide user-selectable features to allow users to tailor a program to an application scenario. Knowing in advance which featu...
Norbert Siegmund, Sergiy S. Kolesnikov, Christian ...
218views Hardware» more  ISCA 2012»
11 years 9 months ago
CAPRI: Prediction of compaction-adequacy for handling control-divergence in GPGPU architectures
Wide SIMD-based GPUs have evolved into a promising platform for running general purpose workloads. Current programmable GPUs allow even code with irregular control to execute well...
Minsoo Rhu, Mattan Erez
12 years 6 months ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi
13 years 1 months ago
How effective is Tabu search to configure support vector regression for effort estimation?
Background. Recent studies have shown that Support Vector Regression (SVR) has an interesting potential in the field of effort estimation. However applying SVR requires to careful...
Anna Corazza, Sergio Di Martino, Filomena Ferrucci...
13 years 5 months ago
GA-stacking: Evolutionary stacked generalization
Stacking is a widely used technique for combining classifiers and improving prediction accuracy. Early research in Stacking showed that selecting the right classifiers, their par...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...
128views more  UMUAI 1998»
13 years 6 months ago
Using Decision Trees for Agent Modeling: Improving Prediction Performance
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
Bark Cheung Chiu, Geoffrey I. Webb
90views more  JILP 2000»
13 years 6 months ago
Speculative Updates of Local and Global Branch History: A Quantitative Analysis
In today's wide-issue processors, even small branch-misprediction rates introduce substantial performance penalties. Worse yet, inadequate branch prediction creates a bottlen...
Kevin Skadron, Margaret Martonosi, Douglas W. Clar...
13 years 6 months ago
Branch Misprediction Prediction: Complementary Branch Predictors
1 – In this paper, we propose a new class of branch predictors, complementary branch predictors, which can be easily added to any branch predictor to improve the overall predicti...
Resit Sendag, Joshua J. Yi, Peng-fei Chuang
112views more  BMCBI 2006»
13 years 6 months ago
Protein disorder prediction by condensed PSSM considering propensity for order or disorder
Background: More and more disordered regions have been discovered in protein sequences, and many of them are found to be functionally significant. Previous studies reveal that dis...
Chung-Tsai Su, Chien-Yu Chen, Yu-Yen Ou
147views more  BMCBI 2007»
13 years 6 months ago
Hon-yaku: a biology-driven Bayesian methodology for identifying translation initiation sites in prokaryotes
Background: Computational prediction methods are currently used to identify genes in prokaryote genomes. However, identification of the correct translation initiation sites remain...
Yuko Makita, Michiel J. L. de Hoon, Antoine Danchi...