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» Generality Is Predictive of Prediction Accuracy
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ECIS
2001
15 years 8 months ago
Using Problem-Domain and Artefact-Domain Architectural Modelling to Understand System Evolution
The authors describe on going research to uncover the architectonic nature of artefacts and see how these may be related to high-level, but also grounded, model of the original pr...
Thomas R. Addis, Galal Hassan Galal
NIPS
2004
15 years 8 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
UAI
2004
15 years 8 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
ISMB
2000
15 years 8 months ago
Search for a New Description of Protein Topology and Local Structure
A novel description of protein structure in terms of the generalized secondary structure elements (GSSE) is proposed. GSSE's are defined as fragments of the protein structure...
Lukasz Jaroszewski, Adam Godzik
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 7 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...