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Mutual Information

MIMO-OTHR Waveform Optimization Based on the Mutual Information Theory

MIMO-OTHR Waveform Optimization Based on the Mutual Information Theory

... and mutual information theory studied in [14] and mutual information theory studied in [15, 16], we propose a two-step waveform optimization algorithm: Max-Min optimization ...the ...

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Extending Qualitative Probabilistic Network with Mutual Information Weights

Extending Qualitative Probabilistic Network with Mutual Information Weights

... qualitative mutual information weight to each qualitative influence in the QPN, but the weight can only be obtained from the given or generated sam- ple ...

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Mutual Information Based Analysis and Prediction of Speech Intelligibility

Mutual Information Based Analysis and Prediction of Speech Intelligibility

... The computation of mutual information has become significant for knowing the speech intelligibility/understand ability. By knowing the estimated value it is possible to increase the performance and also ...

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MISEP - Linear and Nonlinear ICA Based on Mutual Information

MISEP - Linear and Nonlinear ICA Based on Mutual Information

... then I(z) = I(y). This property is intuitively sound, and is of great use in the derivation of algorithms, such as MISEP, based on the minimization of the mutual information, as we shall see ahead. ...

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MISEP - Linear and Nonlinear ICA Based on Mutual Information

MISEP - Linear and Nonlinear ICA Based on Mutual Information

... We have presented MISEP, a method for linear and nonlinear ICA, based on the minimization of the mutual information of the extracted components. The method is an extension of INFOMAX in two directions: (1) ...

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Dissecting deep learning networks—Visualizing mutual information

Dissecting deep learning networks—Visualizing mutual information

... Abstract: Deep Learning (DL) networks are recent revolutionary developments in artificial intelligence research. Typical networks are stacked by groups of layers that are further composed of many convolutional kernels or ...

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Persistent mutual information

Persistent mutual information

... on information - Kolmogorov ...measure. Mutual information and its variants are one of the primary measures of choice for nonlinear correlations, at least partially because it can be understood ...

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B-spline mutual information independent component analysis

B-spline mutual information independent component analysis

... Mutual Information (MI), also known as the archaic term transinformation, was first introduced in classical information theory by Shannon in ...the mutual dependence of two variables ...much ...

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Mutual Information Based Feature Selection for Fingerprint Identification

Mutual Information Based Feature Selection for Fingerprint Identification

... Practically, the LBP, LPQ, BSIF and HoG histogram bins are extracted from all the training images that are also used for feature selection. At this point, each bin is considered as a feature in the feature selection ...

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MISEP -- Linear and Nonlinear ICA Based on Mutual Information

MISEP -- Linear and Nonlinear ICA Based on Mutual Information

... the mutual information of the estimated components ...the mutual information (MI) of the estimated components, is rather appealing as a dependence measure for several ...

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Fast Binary Feature Selection with Conditional Mutual Information

Fast Binary Feature Selection with Conditional Mutual Information

... conditional mutual information itself, requiring sums over the space of values of products and ratios of such ...conditional mutual information is ex- pensive, the lazy evaluation trick ...

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Simulation-Based Bayesian Experimental Design using Mutual Information.

Simulation-Based Bayesian Experimental Design using Mutual Information.

... estimate mutual information from model samples and maximized KSG over a discrete set of potential ...estimable mutual information for a given sample size, a feature that affects ...

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Mutual Information Maximization for Simple and Accurate Part Of Speech Induction

Mutual Information Maximization for Simple and Accurate Part Of Speech Induction

... that our model trained with the generalized Brown objective (4) does not work. We have found that unless the minibatch size is as large as 10,000 the gradient steps do not effectively increase the true data-wide ...

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Syntactic dependencies correspond to word pairs with high mutual information

Syntactic dependencies correspond to word pairs with high mutual information

... an information-theoretic interpretation of the postulates of dependency grammar, claiming that syntactic heads and dependents should correspond to word pairs with high MI: the HDMI ...quantify mutual ...

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Dissecting Deep Learning Networks—Visualizing Mutual Information

Dissecting Deep Learning Networks—Visualizing Mutual Information

... Abstract: Deep Learning (DL) networks are recent revolutionary developments in artificial intelligence research. Typical networks are stacked by groups of layers that are further composed of many convolutional kernels or ...

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Mutual Information Based Matching for Causal Inference with Observational Data

Mutual Information Based Matching for Causal Inference with Observational Data

... an information theory-driven matching methodology for making causal inference from observational ...the mutual information (MI) between the covariates and the treatment ...

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An Improved Attribute Reeducation Algorithm Based on Mutual Information for Non Care Information System

An Improved Attribute Reeducation Algorithm Based on Mutual Information for Non Care Information System

... of mutual information after adding the attribute, but also considers its own information ...the mutual information increment is equal, the smaller H ( a ) is, the higher attribute ...

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Information Theory and Radar: Mutual Information and the Design and Analysis of Radar Waveforms and Systems

Information Theory and Radar: Mutual Information and the Design and Analysis of Radar Waveforms and Systems

... Next, we addressed the problem of designing radar waveforms that provide maximum mutual information between a random target and the received radar waveform in the presence of additive Ga[r] ...

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Nonequilibrium Information Landscape and Flux, Mutual Information Rate Decomposition and Entropy Production

Nonequilibrium Information Landscape and Flux, Mutual Information Rate Decomposition and Entropy Production

... Nonequilibrium Information Landscape and Flux, Mutual Information Rate Decomposition and Entropy Production.. Qian Zeng 1 ID and Jin Wang 1,2, *.[r] ...

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Information Landscape and Flux, Mutual Information Rate Decomposition and Entropy Production

Information Landscape and Flux, Mutual Information Rate Decomposition and Entropy Production

... Information Landscape and Flux, Mutual Information Rate Decomposition and Entropy Production.. Qian Zeng 1,† and Jin Wang 1,2,†, *.[r] ...

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