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ICML
2003
IEEE
15 years 11 months ago
Decision-tree Induction from Time-series Data Based on a Standard-example Split Test
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...
Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhi...
CEC
2010
IEEE
15 years 12 hour ago
Evolving cascades of voting feature detectors for vehicle detection in satellite imagery
We propose an evolutionary method for detection of vehicles in satellite imagery which involves a large number of simple elementary features and multiple detectors trained by genet...
Krzysztof Krawiec, Bartosz Kukawka, Tomasz Macieje...
64
Voted
FIS
2008
15 years 13 days ago
e-Services in a Networked World: From Semantics to Pragmatics
Today's economy is a service economy, and an increasing number of services is electronic, i.e. can be ordered and provisioned online. Examples include Internet access, email a...
Jaap Gordijn, Sybren de Kinderen, Vincent Pijpers,...
73
Voted
IJCAI
1993
15 years 6 days ago
HYDRA: A Noise-tolerant Relational Concept Learning Algorithm
Many learning algorithms form concept descriptions composed of clauses, each of which covers some proportion of the positive training data and a small to zero proportion of the ne...
Kamal M. Ali, Michael J. Pazzani
62
Voted
NIPS
2004
15 years 8 days ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams