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The Sequence of Latent Truths

which is provable. The Latent Sequence of Truths: Exploring Mystical Experiences Without Dogma aims to build a bridge between spirituality and;

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Latent Print Processing Guide

invisible at the time of deposition. Recognition of evidence that may contain fingerprints and the processes that can develop these latent prints;

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An Introduction to Latent Class Analysis

This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion;

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Natural Language Processing

unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the;

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Latent Inhibition

Latent inhibition is a phenomenon by which exposure to an irrelevant stimulus impedes the acquisition or expression of conditioned;

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Applied Latent Class Analysis

Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the;

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Latent Class and Latent Transition Analysis

One of the few books on latent class analysis (LCA) and latent transition analysis (LTA) with a comprehensive treatment of longitudinal;

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Latent Fingerprint Examination

. Fingerprints left at crime scenes generally are latent prints -- unintentional reproductions of the arrangement of ridges on the skin made by the;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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Advances in Latent Class Analysis

factor analysis model where both the measured variable indicators and underlying latent variables are categorical. Today, however, it rests;

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Latent Inhibition and Its Neural Substrates

latent inhibition, and shows how variables in the model can be mapped onto different brain regions and neurotransmitters. The result is a;

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Insights / Outlooks

arrangement of the collections and materials play no role here, allowing surprisingly novel, latent qualities that are frequently otherwise hidden, to;

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Semialgebraic Statistics and Latent Tree Models

systematic, geometric approach to studying the semialgebraic structure of latent tree models. The first part of the book gives a general;

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Semialgebraic Statistics and Latent Tree Models

systematic, geometric approach to studying the semialgebraic structure of latent tree models. The first part of the book gives a general;

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Current Topics in the Theory and Application of Latent Variable Models

This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent;

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Current Topics in the Theory and Application of Latent Variable Models

This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent;

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Latent Variable and Latent Structure Models

This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights;

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Segmentation and Separation of Overlapped Latent Fingerprints

latent fingerprint segmentation and separation in the context of fingerprint verification systems; (2) the different datasets available for;

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Latent Variable and Latent Structure Models

This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights;

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Latent Variable Models and Factor Analysis

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling;

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Advances in Latent Variable Mixture Models

The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR;

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Mining Latent Entity Structures

and relationships. In this monograph, we investigate the principles and methodologies of mining latent entity structures from massive;

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Latent Variable Models

communicating about latent variable models. The informal writing style and the numerous illustrative examples make the book accessible to readers;

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Latent Variable Models

communicating about latent variable models. The informal writing style and the numerous illustrative examples make the book accessible to readers;

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Advances in Fingerprint Technology

of methods for developing latent prints and in the growth of imaging and AFIS technologies. This fully updated Second Edition of the bestseller;

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Advances in Latent Variable Mixture Models

The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR;

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