Results 31 to 40 of about 288 (66)

Boosted Decision Trees as an Alternative to Artificial Neural Networks for Particle Identification

, 2004
The efficacy of particle identification is compared using artificial neutral networks and boosted decision trees. The comparison is performed in the context of the MiniBooNE, an experiment at Fermilab searching for neutrino oscillations. Based on studies
Aguilar, Breiman, Byron P. Roe, Freund, Freund, Friedman, Friedman, Gordon McGregor, Hai-Jun Yang, Ion Stancu, Ji Zhu, Yong Liu   +11 more
core   +1 more source

Self-Organization of Vortex Length Distribution in Quantum Turbulence: An Approach from the Barabasi-Albert Model [PDF]

, 2006
The energy spectrum of quantum turbulence obeys Kolmogorov's law. The vortex length distribution (VLD), meaning the size distribution of the vortices, in Kolmogorov quantum turbulence also obeys a power law.
Akira Mitani, J. des Cloizeaux, Makoto Tsubota, R. J. Donnelly, U. Frisch   +4 more
core   +1 more source

Training a perceptron by a bit sequence: Storage capacity

, 1996
A perceptron is trained by a random bit sequence. In comparison to the corresponding classification problem, the storage capacity decreases to alpha_c=1.70\pm 0.02 due to correlations between input and output bits.
I. Kanter, I. Kanterz, M. Schrodery, M. Schröder, W. Kinzel, W. Kinzely   +5 more
core   +2 more sources

Cascade Training Technique for Particle Identification

, 2006
The cascade training technique which was developed during our work on the MiniBooNE particle identification has been found to be a very efficient way to improve the selection performance, especially when very low background contamination levels are ...
Abazov, Abramowicz, Abramowicz, Aguilar, Bandourin, Berg, Chattopadhyaya, Conrad, Cowan, Forte, Freund, Ion Stancu, Justice, Maggipinto, Meir, Peterson, Roe, Rojo, Yong Liu   +18 more
core   +1 more source

A machine learning approach to the Berezinskii-Kosterlitz-Thouless transition in classical and quantum models [PDF]

, 2018
The Berezinskii-Kosterlitz-Thouless transition is a very specific phase transition where all thermodynamic quantities are smooth. Therefore, it is difficult to determine the critical temperature in a precise way.
Khan, H., Maśka, M. M., Richter-Laskowska, M., Trivedi, N.   +3 more
core   +4 more sources

Annealing schedule from population dynamics

, 1999
We introduce a dynamical annealing schedule for population-based optimization algorithms with mutation. On the basis of a statistical mechanics formulation of the population dynamics, the mutation rate adapts to a value maximizing expected rewards at ...
A. Prügel-Bennett, A. Prügel-Bennett, D. B. Fogel, E. Aarts, F. Starrost, I. Rechenberg, J. H. Holland, J. L. Shapiro, L. M. Rattray, M. Mitchell, P. Stadler, P. Sutton, S. Bornholdt, S. Kauffman, S. Kauffman, Stefan Bornholdt   +15 more
core   +1 more source

Plasticity and learning in a network of coupled phase oscillators

, 2001
A generalized Kuramoto model of coupled phase oscillators with slowly varying coupling matrix is studied. The dynamics of the coupling coefficients is driven by the phase difference of pairs of oscillators in such a way that the coupling strengthens for ...
A.T. Winfree, C.M. Gray, E. Shimizu, F.C. Hoppensteadt, F.C. Hoppensteadt, F.C. Hoppensteadt, H. Markram, H. Sompolinsky, J.J. Hopfield, L.F. Abbott, L.I. Zhang, Lev S. Tsimring, M.K. Yueng, P.D. Roberts, Philip Seliger, S.H. Strogatz, Stephen C. Young, T. Aoyagi   +17 more
core   +1 more source

Algunas lógicas modales asociadas al razonamiento de agentes inteligentes

Ingeniería y Ciencia, 2008
Se presentan las jerarquías de sistemas SCR–nT4, SCR–nT5 y SCR–nD45 con n > 3, en las cuales se formaliza la noción de creencia en el sentido de creencia justificada, de conocimiento y de convicción respectivamente, dando como resultado sistemas de ...
Gloria Rúa M., Manuel Sierra A.
doaj  

A general learning algorithm for solving optimization problems and its application to the spin glass problem

, 1997
We propose a general learning algorithm for solving optimization problems, based on a simple strategy of trial and adaptation. The algorithm maintains a probability distribution of possible solutions (configurations), which is updated continuously in the
Chen, Kan
core   +1 more source

Approximation of quantum control correction scheme using deep neural networks

, 2019
We study the functional relationship between quantum control pulses in the idealized case and the pulses in the presence of an unwanted drift. We show that a class of artificial neural networks called LSTM is able to model this functional relationship ...
Banchi, L., Miszczak, J. A., Ostaszewski, M., Sadowski, P.   +3 more
core   +1 more source