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» ELEM2: A Learning System for More Accurate Classifications
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ECAI
2008
Springer
13 years 9 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
CAISE
2006
Springer
13 years 11 months ago
On Controlled Flexibility
Striking a balance between rigidity and flexibility is a central challenge in designing business processes. Striking this balance begins on the type level, because expressiveness ...
Signe Ellegård Borch, Christian Stefansen
BMCBI
2010
183views more  BMCBI 2010»
13 years 7 months ago
Active learning for human protein-protein interaction prediction
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...
Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Gan...
AAAI
2007
13 years 10 months ago
Learning Language Semantics from Ambiguous Supervision
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
Rohit J. Kate, Raymond J. Mooney
MCS
2010
Springer
13 years 9 months ago
Multiple Classifier Systems under Attack
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...
Battista Biggio, Giorgio Fumera, Fabio Roli