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1 discuss the general types of tests that should be performed on the breadboard circuit2 after the breadboard has been
implementation of the laplacian rls algorithm uses an rbf network discuss the distinctive roles of unlabeled and
consider the circuit depicted in fig 743 where wl 20018 assuming the current flowing through r2 is one-tenth of id1
the circuit of fig 742 must be designed for a voltage drop of 200 mv across rsa calculate the minimum allowable value
in solving the method of least squares we have the option of using either the normal equation or the representer
compare the computational complexity of the laplacian regularized least-squares algorithm with that of the regularized
a problem that occasionally arises in the application of the som algorithm is the failure of topological ordering by
the topological-ordering property of the som algorithm may be used to form an abstract two-dimensional representation
table p915 presents a summary of the renormalized som algorithm a brief description of the algorithm is given in
computer experimentsin this experiment we use computer simulations to investigate the som algorithm applied to a
assume that piv is a smooth function of the noise v in the model of fig 96 using a taylor expansion of the distortion
it is sometimes said that the som algorithm preserves the topological relationships that exist in the input space
it is said that the som algorithm based on competitive learning lacks any tolerance against hardware failure however
the conscience algorithm is a modification of the som algorithm that forces the density matching to be exact desieno
the update rules for both the maximum eigenfilter discussed in chapter 8 and the selforganizing map employ
competition and cooperationin a self-organizing system that involves competition as well as cooperation we find that
in the computer experiment described in section 1021 we used the optimal manifold for the unsupervised representation
coherent icain combining the info max and imax contributions to the objective function jwalpha wb we bypassed the need
the fastica algorithm is claimed to be much faster than other ica algorithms namelythe natural-gradient algorithm and
consider a data set that is a mixture of gaussian distributions in what way does the use of deterministic annealing
max ent principlethe support of a random variable x ie the range of values for which it is nonzero is defined by a b
infomax principleconsider two channels whose outputs are represented by the random variables x and y the requirement is
deterministic annealingin section 1110 we developed the idea of deterministic annealing using an information theoretic
consider a general neurodynamic system with an unspecified dependence on internal dynamic parameters external dynamic
computer experimentin this problem we use a particle filter to solve a nonlinear-tracking problem in computer vision an