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» A Hybrid Learning Approach for TV Program Personalization
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UM
2010
Springer
15 years 2 months ago
Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media
In this paper, we focus on the challenge that users face in processing messages on the web posted in participatory media settings, such as blogs. It is desirable to recommend to us...
Aaditeshwar Seth, Jie Zhang, Robin Cohen
76
Voted
ICC
2007
IEEE
141views Communications» more  ICC 2007»
15 years 4 months ago
A Hybrid Model to Detect Malicious Executables
— We present a hybrid data mining approach to detect malicious executables. In this approach we identify important features of the malicious and benign executables. These feature...
Mohammad M. Masud, Latifur Khan, Bhavani M. Thurai...
87
Voted
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
15 years 2 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
SIGSOFT
2003
ACM
15 years 10 months ago
Tracking pointers with path and context sensitivity for bug detection in C programs
This paper proposes a pointer alias analysis for automatic error detection. State-of-the-art pointer alias analyses are either too slow or too imprecise for finding errors in real...
V. Benjamin Livshits, Monica S. Lam
ESOP
2011
Springer
14 years 1 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...