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Stanford scientists study Pavlovian conditioning in neural networks
Stanford scientists Pavlovian conditioning neural networks
2017/3/30
In the decades following the work by physiologist Ivan Pavlov and his famous salivating dogs, scientists have discovered how molecules and cells in the brain learn to associate two stimuli, like Pavlo...
Mitigating Timing Errors in Time-Interleaved ADCs: a signal conditioning approach
Mitigating Timing Errors Time-Interleaved ADCs signal conditioning approach Information Theory
2012/4/23
Novel techniques based on signal-conditioning are presented to mitigate timing errors in time-interleaved ADCs. A theoretical bound on the achievable spurious signal content, on applying the technique...
Polarized Beam Conditioning in Plasma Based Acceleration
Polarized Beam Plasma Acceleration
2011/8/11
Abstract: The acceleration of polarized electron beams in the blowout regime of plasma-based acceleration is explored. An analytical model for the spin precession of single beam electrons, and depolar...
A Security Price Volatile Trading Conditioning Model
behavioral finance transaction volume-price probability wave price volatility trading conditioning disposition effect herd behavior excessive trading econophysics
2010/4/27
We develop a theoretical trading conditioning model subject to price volatility and return information in terms of market psychological behavior, based on analytical transaction volume-price probabili...
High power conditioning of the input coupler for BEPCⅡ superconductingcavity
high power input coupler high power conditioning superconducting cavity
2009/8/14
High power conditioning of the input coupler for BEPCII superconducting cavity has been performed. After room temperature conditioning, the RF power of 150 kW with continuous wave at standing wave mo...
Conditioning rainfall-runoff model parameters for ungauged catchments and land management impacts analysis
rainfall-runoff model land management ungauged catchments
2009/7/22
Data scarcity and model over-parameterisation, leading to model equifinality and large prediction uncertainty, are common barriers to effective hydrological modelling. The problem can be alleviated b...
Multi-objective conditioning of a simple SVAT model
Soil Vegetation Atmosphere Transfer Generalised Likelihood Uncertainty Estimation
2009/5/27
It has previously been argued that current Soil Vegetation Atmosphere Transfer (SVAT) models are over-parameterised given the calibration data typically available. Using the Generalised Likelihood Unc...
A Bayesian technique for conditioning radar precipitation estimates to rain-gauge measurements
Rainfall meteorological radar
2009/3/23
The paper introduces a new technique based upon the use of block-Kriging and of Kalman filtering to combine, optimally in a Bayesian sense, areal precipitation fields estimated from meteorological rad...
Canine conditioning program available for residents of Ames and surrounding communities
Canine conditioning program dogs
2007/5/21
Delayed Reactivity Quicklime in sludge treatment: an original lime application for the conditioning and hygienisation of urban waste water sludge
Delayed Reactivity Quicklime sludge treatment original lime application conditioning hygienisation urban waste water sludge
2012/3/28
Delayed Reactivity Quicklime in sludge treatment: an original lime application for the conditioning and hygienisation of urban waste water sludge.