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» Evaluating learning algorithms and classifiers
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CORR
2011
Springer
147views Education» more  CORR 2011»
14 years 11 months ago
A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
Ridwan Al Iqbal
WWW
2007
ACM
16 years 5 months ago
Identifying and discriminating between web and peer-to-peer traffic in the network core
Traffic classification is the ability to identify and categorize network traffic by application type. In this paper, we consider the problem of traffic classification in the netwo...
Jeffrey Erman, Anirban Mahanti, Martin F. Arlitt, ...
DEXAW
2010
IEEE
196views Database» more  DEXAW 2010»
15 years 4 months ago
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
Ósscar Alejo, Juan M. Fernández-Luna...
CSB
2005
IEEE
118views Bioinformatics» more  CSB 2005»
15 years 10 months ago
A Protein Interaction Verification System Based on a Neural Network Algorithm
Large amounts of protein-protein interaction data have been identified using various genome-scale screening techniques. Although interaction data is a valuable resource, high-thro...
Min Su Lee, Seung-Soo Park, Min Kyung Kim
WWW
2008
ACM
16 years 5 months ago
Enhanced hierarchical classification via isotonic smoothing
Hierarchical topic taxonomies have proliferated on the World Wide Web [5, 18], and exploiting the output space decompositions they induce in automated classification systems is an...
Kunal Punera, Joydeep Ghosh