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» Predicting change impact from logical models
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 4 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
AAAI
2011
13 years 11 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith
ENVSOFT
2007
93views more  ENVSOFT 2007»
14 years 11 months ago
A distributed model of water balance in the Motueka catchment, New Zealand
A distributed water balance model is used to simulate the soil moisture regime of the Motueka catchment. The model is a major simplification of the Distributed HydrologyeVegetati...
Robbie M. Andrew, John R. Dymond
POPL
1995
ACM
15 years 3 months ago
Default Timed Concurrent Constraint Programming
d Abstract) We extend the model of [VRV94] to express strong time-outs (and pre-emption): if an event A does not happen through time t, cause event B to happen at time t. Such con...
Vijay A. Saraswat, Radha Jagadeesan, Vineet Gupta
LCPC
2007
Springer
15 years 6 months ago
Modeling Relations between Inputs and Dynamic Behavior for General Programs
Program dynamic optimization, adaptive to runtime behavior changes, has become increasingly important for both performance and energy savings. However, most runtime optimizations o...
Xipeng Shen, Feng Mao