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» Protein secondary structure prediction using neural networks
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IJCNN
2007
IEEE
14 years 2 months ago
Incorporating Forgetting in a Category Learning Model
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
Yasuaki Sakamoto, Toshihiko Matsuka
BMCBI
2008
158views more  BMCBI 2008»
13 years 8 months ago
Bioinformatics in Italy: BITS2007, the fourth annual meeting of the Italian Society of Bioinformatics
spectives. A total of 149 abstracts were accepted and presented in the poster session and 31 of them were selected for oral presentation. At the opening of the meeting, Roderic Gui...
Graziano Pesole, Manuela Helmer-Citterich
NIPS
2008
13 years 9 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
BMCBI
2007
181views more  BMCBI 2007»
13 years 8 months ago
ASMPKS: an analysis system for modular polyketide synthases
Background: Polyketides are secondary metabolites of microorganisms with diverse biological activities, including pharmacological functions such as antibiotic, antitumor and agroc...
Hongseok Tae, Eun-Bae Kong, Kiejung Park
NIPS
2008
13 years 9 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...