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ASPLOS
2010
ACM
15 years 7 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
102
Voted
AAAI
2010
15 years 2 months ago
The Model-Based Approach to Autonomous Behavior: A Personal View
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...
Hector Geffner
140
Voted
JMLR
2008
230views more  JMLR 2008»
15 years 19 days ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
112
Voted
JASIS
2000
143views more  JASIS 2000»
15 years 13 days ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
105
Voted
CHI
2009
ACM
16 years 1 months ago
Social immersive media: pursuing best practices for multi-user interactive camera/projector exhibits
Based on ten years' experience developing interactive camera/projector systems for public science and culture exhibits, we define a distinct form of augmented reality focused...
Scott S. Snibbe, Hayes Raffle