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Quantum-Like Models for Information Retrieval and Decision-Making

modeling in the following areas: information foraging; interactive quantum information access; deep convolutional neural networks; decision making;

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Principles Of Quantum Artificial Intelligence

decision making - the core disciplines of artificial intelligence.Most of the chapters were rewritten and extensive new materials were updated. New;

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Introduction to Information Retrieval and Quantum Mechanics

for modeling information representation and retrieval processes. The book is divided into four chapters. Chapter 1 illustrates the main;

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Introduction to Information Retrieval and Quantum Mechanics

for modeling information representation and retrieval processes. The book is divided into four chapters. Chapter 1 illustrates the main;

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Information Retrieval in Digital Environments

decision, etc. Most human activities are intimately linked to our ability to search quickly and effectively for relevant information, the stakes;

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Quantum Interaction

theory, information retrieval, information systems, social interaction, computational linguistics and finance.;

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Statistical Language Models for Information Retrieval

been a central research problem in information retrieval for several decades. In the past ten years, a new generation of retrieval models;

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The Geometry of Information Retrieval

feedback, relevance feedback and ostensive retrieval. The relation with quantum computing is also examined. To keep the book self-contained;

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Neutrosophic Sets in Decision Analysis and Operations Research

information retrieval, decision making, and matrices, this book is ideal for engineers, technicians, designers, mathematicians, practitioners;

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Neutrosophic Sets in Decision Analysis and Operations Research

information retrieval, decision making, and matrices, this book is ideal for engineers, technicians, designers, mathematicians, practitioners;

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Experiment and Evaluation in Information Retrieval Models

Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to;

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Textual Information Access

exploration. Contents Part 1: Information Retrieval 1. Probabilistic Models for Information Retrieval, Stephane Clinchant and Eric Gaussier. 2;

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A Feature-Centric View of Information Retrieval

and industry. Such large collections pose a new set of challenges for information retrieval researchers. In this work, Metzler describes;

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Information Quality in e-Health

discovery, decision making support & technology acceptance, information retrieval, privacy & clinical routine, usability and accessibility;

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Search Engines

Search Engines: Information Retrieval in Practice is ideal for introductory information retrieval courses at the undergraduate and graduate;

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An Introduction to Neural Information Retrieval

Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi-media;

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Quantum Biological Information Theory

This book is a self-contained, tutorial-based introduction to quantum information theory and quantum biology. It serves as a single-source;

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Quantum Biological Information Theory

This book is a self-contained, tutorial-based introduction to quantum information theory and quantum biology. It serves as a single-source;

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Information Retrieval

precise acquisition of information and knowledge by human beings. The research results will support national strategic decision-making, promote;

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Intuitionistic Preference Modeling and Interactive Decision Making

preference relations, the approaches and models for interactive decision making with intuitionistic fuzzy information, and the extended results;

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Human-Centric Decision-Making Models for Social Sciences

incomplete probabilistic information, granular models of decision making and decision making realized with the use of non-additive measures. New;

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Information Technology Investment

that will best satisfy all the necessary decision criteria requires a careful and inclusive analysis. Information Technology Investment;

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Multicriteria DecisionMaking Under Conditions of Uncertainty

of multiobjective as well as multiattribute decision-making, the classical approach to dealing with uncertainty of information and its generalization for;

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Machine Learning for Text

intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning;

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New Advances in Intelligent Decision Technologies

making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling;

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Decision-Making

This book examines various decision-making processes, influences and its role in business management. The chapters describe the original;

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