Dan Ventura
Dan Ventura
Professor of Computer Science, Brigham Young University
cs.byu.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Quantum associative memory
D Ventura, T Martinez
Information Sciences 124 (1-4), 273-296, 2000
2642000
Quantum neural networks
AA Ezhov, D Ventura
Future directions for intelligent systems and information sciences, 213-235, 2000
1462000
Choosing a starting configuration for particle swarm optimization
M Richards, D Ventura
Neural Networks, 2309-2312, 2004
932004
LC-MS alignment in theory and practice: a comprehensive algorithmic review
R Smith, D Ventura, JT Prince
Briefings in bioinformatics 16 (1), 104-117, 2015
852015
Initializing the amplitude distribution of a quantum state
D Ventura, T Martinez
Foundations of Physics Letters 12 (6), 547-559, 1999
821999
Learning the architecture of sum-product networks using clustering on variables
A Dennis, D Ventura
Advances in Neural Information Processing Systems, 2033-2041, 2012
792012
An empirical comparison of discretization methods
D Ventura, TR Martinez
Proceedings of the Tenth International Symposium on Computer and Information …, 1995
751995
Dynamic sociometry in particle swarm optimization
M Richards, DA Ventura
Atlantis Press, 2003
712003
Distributed queries for quantum associative memory
A Ezhov, A Nifanova, D Ventura
Information Sciences 128 (3-4), 271-293, 2000
70*2000
An artificial neuron with quantum mechanical properties
D Ventura, T Martinez
Artificial Neural Nets and Genetic Algorithms, 482-485, 1998
651998
Soup Over Bean of Pure Joy: Culinary Ruminations of an Artificial Chef.
RG Morris, SH Burton, P Bodily, D Ventura
ICCC, 119-125, 2012
632012
Training a quantum neural network
B Ricks, D Ventura
Advances in neural information processing systems, 1019-1026, 2004
612004
Spatiotemporal pattern recognition via liquid state machines
E Goodman, D Ventura
The 2006 ieee international joint conference on neural network proceedings …, 2006
582006
Quantum associative memory with exponential capacity
D Ventura, T Martinez
1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998
571998
Improving liquid state machines through iterative refinement of the reservoir
D Norton, D Ventura
Neurocomputing 73 (16-18), 2893-2904, 2010
562010
Proteomics, lipidomics, metabolomics: a mass spectrometry tutorial from a computer scientist's point of view
R Smith, AD Mathis, D Ventura, JT Prince
BMC bioinformatics 15 (7), 1-14, 2014
512014
Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems.
N Fulda, D Ventura
IJCAI 2007, 780-785, 2007
502007
Preparing more effective liquid state machines using hebbian learning
D Norton, D Ventura
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
472006
Iterative non-linear dimensionality reduction with manifold sculpting
M Gashler, D Ventura, T Martinez
Advances in Neural Information Processing Systems, 513-520, 2008
442008
Mere generation: Essential barometer or dated concept
D Ventura
Proceedings of the Seventh International Conference on Computational …, 2016
412016
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20