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TKDE
2012
190views Formal Methods» more  TKDE 2012»
11 years 9 months ago
Scalable Learning of Collective Behavior
—This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Fl...
Lei Tang, Xufei Wang, Huan Liu
SIGIR
2012
ACM
11 years 9 months ago
Predicting quality flaws in user-generated content: the case of wikipedia
The detection and improvement of low-quality information is a key concern in Web applications that are based on user-generated content; a popular example is the online encyclopedi...
Maik Anderka, Benno Stein, Nedim Lipka
ICS
2011
Tsinghua U.
12 years 10 months ago
An idiom-finding tool for increasing productivity of accelerators
Suppose one is considering purchase of a computer equipped with accelerators. Or suppose one has access to such a computer and is considering porting code to take advantage of the...
Laura Carrington, Mustafa M. Tikir, Catherine Olsc...
JSS
2008
317views more  JSS 2008»
13 years 6 months ago
Predicting defect-prone software modules using support vector machines
Effective prediction of defectprone software modules can enable software developers to focus quality assurance activities and allocate effort and resources more efficiently. Supp...
Karim O. Elish, Mahmoud O. Elish
BMCBI
2006
124views more  BMCBI 2006»
13 years 7 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
Detailed estimation of bioinformatics prediction reliability through the Fragmented Prediction Performance Plots
Background: An important and yet rather neglected question related to bioinformatics predictions is the estimation of the amount of data that is needed to allow reliable predictio...
Oliviero Carugo
ARCS
2008
Springer
13 years 9 months ago
Potentials of Branch Predictors: From Entropy Viewpoints
Predictors essentially predicts the most recent events based on the record of past events, history. It is obvious that prediction performance largely relies on regularity
Takashi Yokota, Kanemitsu Ootsu, Takanobu Baba
EXPCS
2007
13 years 10 months ago
Introducing entropies for representing program behavior and branch predictor performance
Predictors are inherent components of state-of-the-art microprocessors. Branch predictors are discussed actively from diverse perspectives. Performance of a branch predictor large...
Takashi Yokota, Kanemitsu Ootsu, Takanobu Baba
ESEM
2007
ACM
13 years 10 months ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...