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» Using Machine Learning Techniques for Stylometry
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HAIS
2009
Springer
15 years 5 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...
ICML
2002
IEEE
16 years 2 months ago
Combining Labeled and Unlabeled Data for MultiClass Text Categorization
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Rayid Ghani
ICDIM
2007
IEEE
15 years 7 months ago
Estimating product lifecycle cost using a hybrid approach
It becomes clear for manufacturing companies that product lifecycle cost (LCC) is as crucial as product quality and functionality in deciding the success of a product in the marke...
Haifeng Liu, Vivekanand Gopalkrishnan, Wee Keong N...
WSDM
2010
ACM
204views Data Mining» more  WSDM 2010»
15 years 8 months ago
Learning URL patterns for webpage de-duplication
Presence of duplicate documents in the World Wide Web adversely affects crawling, indexing and relevance, which are the core building blocks of web search. In this paper, we pres...
Hema Swetha Koppula, Krishna P. Leela, Amit Agarwa...
ICDM
2007
IEEE
96views Data Mining» more  ICDM 2007»
15 years 7 months ago
The Chosen Few: On Identifying Valuable Patterns
Constrained pattern mining extracts patterns based on their individual merit. Usually this results in far more patterns than a human expert or a machine learning technique could m...
Björn Bringmann, Albrecht Zimmermann