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» Predicting When Not to Predict
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CATS
2007
15 years 2 months ago
Effective Prediction and its Computational Complexity
A model for the problem of predicting the outputs of a process, based only on knowledge of previous outputs, is proposed in terms of a decision problem. The strength of this parti...
Richard Taylor
100
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ESANN
2006
15 years 2 months ago
Using sampling methods to improve binding site predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
120
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ESANN
2001
15 years 2 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
98
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EUSFLAT
2003
15 years 2 months ago
Fuzzy models for prediction based on random set semantics
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
Nicholas J. Randon, Jonathan Lawry
99
Voted
IJDMB
2006
86views more  IJDMB 2006»
15 years 20 days ago
Improving domain-based protein interaction prediction using biologically-significant negative dataset
: We propose a domain-based classification method to predict protein-protein interactions using probabilities of putative interacting domain pairs derived from both experimentally-...
Xiaoli Li, Soon-Heng Tan, See-Kiong Ng