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CSL
2006
Springer
15 years 10 months ago
Nonmonotonic Logics and Their Algebraic Foundations
The goal of this note is to provide a background and references for the invited lecture presented at Computer Science Logic 2006. We briefly discuss motivations that led to the eme...
Miroslaw Truszczynski
ML
2008
ACM
15 years 6 months ago
Incremental exemplar learning schemes for classification on embedded devices
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
Ankur Jain, Daniel Nikovski
JMLR
2006
132views more  JMLR 2006»
15 years 6 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
APIN
1998
78views more  APIN 1998»
15 years 6 months ago
The Method of Assigning Incidences
Incidence calculus is a probabilistic logic in which incidences, standing for the situations in which formulae may be true, are assigned to some formulae, and probabilities are as...
Weiru Liu, David McBryan, Alan Bundy
PAMI
2006
147views more  PAMI 2006»
15 years 6 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani