A Neural-Network Technique to Learn Concepts from Electroencephalograms
A new technique is presented developed to learn multi-class concepts from clinical electroencephalograms. A desired concept is represented as a
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Concept of E-machine: How does a "dynamical" brain learn to process "symbolic" information? Part I
The human brain has many remarkable information processing characteristics that deeply puzzle scientists and engineers. Among the most important and
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Confronting Hydrodynamic Simulations Of Relativistic Jets With Data: What Do We Learn About Particles & Fields?
We review recent relativistic hydrodynamic simulations of jets, and their interpretation in terms of the results from linear stability analysis.
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Dynamics of Cosmological Phase Transitions: What Can We Learn from Condensed Matter Physics?
A brief outline is given of the description of phase transition kinetics in condensed matter systems with a continuous symmetry,
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Gamma-rays From Neutralino Annihilation in Milky Way Substructure: What Can We Learn?
We estimate the probability of detecting gamma-rays from the annihilation of neutralino dark matter in the substructure of the Milky
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HI deficiency in groups : what can we learn from Eridanus
The HI content of the Eridanus group of galaxies is studied using the GMRT observations and the HIPASS data. A
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Metal-rich and metal-poor globular clusters in ellipticals: Did we learn anything? or Constraints on galaxy formation and evolution from globular cluster sub-populations
A brief review on globular cluster sub-populations in galaxies, and their constraints on galaxy formation and evolution is given. The
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Oscillations and leptogenesis: what can we learn about right-handed neutrinos?
Inverting the type-I seesaw formula, we reconstruct the mass matrix of the heavy right-handed neutrinos $N_i$. We analyze how the
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Pioneer anomaly: What can we learn from LISA?
The Doppler tracking data from two deep-space spacecraft, Pioneer 10 and 11, show an anomalous blueshift, which has been dubbed
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Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents.
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Rapid variability of BL Lacs and time lags: what can we learn?
The quasi-symmetric shape of the lightcurves, as seen in the X-rays and in the optical, together with the fast variations
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ScheduleNanny: Using GPS to Learn the User's Significant Locations, Travel Times and Schedule
As computing technology becomes more pervasive, personal devices such as the PDA, cell-phone, and notebook should use context to determine
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Self-gravitating discs: what can we learn from the dynamics of maser spots ?
For a few nearby active nuclei, the disc orbiting the black hole is traced by water maser emission. By combining
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The enrichment history of omega Centauri: what we can learn from Stroemgren photometry
In this contribution, results from CCD vby Stroemgren photometry of a statistically complete sample of red giants and stars in
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There is life in the old horse yet or what else we can learn studying spin-1/2 XY chains
We review some recent results on statistical mechanics of the one-dimensional spin-1/2 XY systems paying special attention to the dynamic
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Using Self-Organising Mappings to Learn the Structure of Data Manifolds
In this paper it is shown how to map a data manifold into a simpler form by progressively discarding small
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What can Lattice QCD theorists learn from NMR spectroscopists?
Euclidean-time hadron correlation functions computed in Lattice QCD (LQCD) are modeled by a sum of decaying exponentials, reminiscent of the
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What can Physics learn from Continuum Mechanics ?
This paper is mostly a collection of ideas already published by various authors, some of them even a long time
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What can we learn about black-hole formation from black-hole X-ray binaries?
I discuss the effect of the formation of a black hole on a (close) binary and show some of the
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What can we learn about extragalactic radio jets from X-ray data?
We review the current status of resolved X-ray emission associated with extragalactic radio jets and hotspots. The primary question for
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What Can we Learn about $Θ$ Baryon from Unified Picture for Hadron Spectra
An analysis of the recent results from several experimental groups reported observation of a new $Θ$ baryon has been presented
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What can we learn by probing Trans-Planckian physics
In this talk we address the issue of how the observables in our present Universe are affected by processes that
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What Can we learn from Cosmic Rays?
Ultra high energy cosmic rays (UHECR) pose a problem either for particle physics or for astrophysics (or for both) by
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What can we learn from EPIC X-ray spectra of Seyfert 1 galaxies?
The EPIC detectors on XMM-Newton provide the most sensitive broad band (0.3-12 keV) X-ray spectra to date. Observations of 6
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