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» Using Learning Curves to Mine Student Models
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125
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ITNG
2008
IEEE
15 years 9 months ago
Hierarchy-Driven Approach for Attack Patterns in Software Security Education
We propose a hierarchy-driven approach to facilitate student learning and foster a deeper understanding of the importance of attack patterns in computer, network, and software sec...
Joshua J. Pauli, Patrick Henry Engebretson
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
16 years 23 days ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
132
Voted
CSL
2006
Springer
15 years 3 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 3 months ago
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
Vincent Schickel-Zuber, Boi Faltings
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
16 years 3 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek