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» Requirements for Machine Lifelong Learning
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ALT
1998
Springer
15 years 5 months ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
ICML
2004
IEEE
16 years 1 months ago
A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning
Hill-climbing search is the most commonly used search algorithm in ILP systems because it permits the generation of theories in short running times. However, a well known drawback...
Lourdes Peña Castillo, Stefan Wrobel
PAMI
2008
302views more  PAMI 2008»
15 years 27 days ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
ALT
1999
Springer
15 years 5 months ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
UIST
1991
ACM
15 years 4 months ago
SUIT: the Pascal of user interface toolkits
User interface support software, such as UI toolkits, UIMSs, and interface builders, are currently too complex for undergraduates. Tools typically require a learning period of sev...
Randy Pausch, Nathaniel R. Young II, Robert DeLine