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NN
1998
Springer
177views Neural Networks» more  NN 1998»
14 years 9 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
BMCBI
2010
174views more  BMCBI 2010»
14 years 9 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
CIBCB
2009
IEEE
14 years 10 months ago
Improved prediction of trans-membrane spans in proteins using an artificial neural network
Tools for the identification of trans-membrane spans from the protein sequence are widely used in the experimental community. Computational structural biology seeks to increase the...
Julia Koehler, Ralf Mueller, Jens Meiler
ISNN
2009
Springer
15 years 4 months ago
Use of Ensemble Based on GA for Imbalance Problem
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...
Laura Cleofas, Rosa Maria Valdovinos, Vicente Garc...
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná