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» Prediction of Ordinal Classes Using Regression Trees
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JMLR
2010
107views more  JMLR 2010»
13 years 2 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
ESEM
2007
ACM
13 years 11 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, ...
ESEM
2008
ACM
13 years 9 months ago
Iterative identification of fault-prone binaries using in-process metrics
Code churn, the amount of code change taking place within a software unit over time, has been correlated with fault-proneness in software systems. We investigate the use of code c...
Lucas Layman, Gunnar Kudrjavets, Nachiappan Nagapp...
BMCBI
2011
12 years 11 months ago
In-silico prediction of disorder content using hybrid sequence representation
Background: Intrinsically disordered proteins play important roles in various cellular activities and their prevalence was implicated in a number of human diseases. The knowledge ...
Marcin J. Mizianty, Tuo Zhang, Bin Xue, Yaoqi Zhou...
JMS
2010
90views more  JMS 2010»
13 years 6 months ago
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Kristien Van Loon, Fabián Güiza, Geert...