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Optimization Methods For Logical Inference

Merging logic and mathematics in deductive inference--an innovative, cutting--edge approach. Optimization methods for logical inference;

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Logic-Based Methods for Optimization

optimization and constraint satisfaction, then goes a step further and shows how extending logical inference to optimization allows for more powerful;

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Statistical Inference via Convex Optimization

essential resource for optimization specialists who are new to statistics and its applications, and for data scientists who want to improve their;

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Mathematical Optimization Terminology

of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support;

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Dynamic Parameter Adaptation for Meta Heuristic Optimization Algorithms Through

In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on;

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Logical Abilities in Children: Volume 2: Logical Inference

Originally published in 1974, the second volume of four (Logical Inference: Underlying Operations) provides a process-model for the;

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Logical Abilities in Children: Volume 2: Logical Inference

Originally published in 1974, the second volume of four (Logical Inference: Underlying Operations) provides a process-model for the;

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Statistical Optimization for Geometric Computation

theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. The numerous mathematical;

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A Treatise On Probability - Unabridged

Logical Consistence, Inference, And Logical Priority - The Definitions And Axioms Of Inference And Probability - The Fundamental Theorems;

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Fundamental Statistical Inference

accessible book for beginning graduate students offers a practical and detailed approach to the field of statistical inference, providing complete;

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Thermal System Design and Optimization

This highly informative and carefully presented textbook introduces the general principles involved in system design and optimization as;

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Thermal System Design and Optimization

This highly informative and carefully presented textbook introduces the general principles involved in system design and optimization as;

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Logical Aspects of Computational Linguistics

This book constitutes the refereed proceedings of the 6th International Conference on Logical Aspects of Computational Linguistics, LACL;

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Information Retrieval

uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR;

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Nonlinear Regression

comprise a self-contained introduction to unconstrained optimization. Includes many illustrative practical examples.;

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Modeling and Reasoning with Bayesian Networks

discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design;

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Modeling and Reasoning with Bayesian Networks

discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design;

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Big Data in Omics and Imaging, Two Volume Set

analysis Use combinatorial optimization methods and various causal models as a general framework for inferring multilevel;

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Cooperative and Graph Signal Processing

, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

revolution to developing a new generation of genetic analysis for shifting the current paradigm of genetic analysis from shallow association analysis;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

revolution to developing a new generation of genetic analysis for shifting the current paradigm of genetic analysis from shallow association analysis;

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Pathwise Estimation and Inference for Diffusion Market Models

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices;

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Pathwise Estimation and Inference for Diffusion Market Models

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices;

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Quantitative Evaluation of Systems

submissions. They are organized in topical sections entitled: Markov processes; tools; sampling, inference, and optimization methods; Markov decision;

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First Course in Mathematical Logic

, the authors emphasize the pervasive and important problem of translating English sentences into logical or mathematical symbolism. Their clear;

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Inferential Models

developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the;

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Inferential Models

approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to;

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