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APNOMS
2008
Springer
13 years 9 months ago
Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...
JMLR
2010
95views more  JMLR 2010»
13 years 2 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
IJCNLP
2005
Springer
14 years 1 months ago
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizu...
DEBU
2000
95views more  DEBU 2000»
13 years 7 months ago
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...
Craig A. Knoblock, Kristina Lerman, Steven Minton,...
ISOOMS
1994
13 years 11 months ago
Testing of Object-Oriented Programming Systems (OOPS): A Fault-Based Approach
The goal of this paper is to examine the testing of object-oriented systems and to compare and contrast it with the testing of conventional programming language systems, with empha...
Jane Huffman Hayes