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ML
2000
ACM
154views Machine Learning» more  ML 2000»
15 years 1 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
CANDC
2011
ACM
14 years 1 months ago
Understanding exploratory creativity in a visual domain
This paper describes a computerized aesthetic composition task that is based on a “creativity as search” metaphor. The technique collects detailed, moment-to-moment data about...
Kyle E. Jennings, Dean Keith Simonton, Stephen E. ...
ICMCS
2007
IEEE
79views Multimedia» more  ICMCS 2007»
15 years 8 months ago
Pop Music Beat Detection in the Huffman Coded Domain
This paper presents a novel beat detector that operates in the Huffman coded domain of a MP3 audio bitstream. We seek to answer two main questions. First, whether it is possible t...
Jia Zhu, Ye Wang
AAAI
2007
15 years 4 months ago
Strongly Decomposable Voting Rules on Multiattribute Domains
Sequential composition of voting rules, by making use of structural properties of the voters’ preferences, provide computationally economical ways for making a common decision o...
Lirong Xia, Jérôme Lang, Mingsheng Yi...
AIEDAM
1999
157views more  AIEDAM 1999»
15 years 1 months ago
Representing a robotic domain using temporal description logics
A temporal logic for representing and reasoning on a robotic domain is presented. Actions are represented by describing what is true while the action itself is occurring, and plan...
Alessandro Artale, Enrico Franconi