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Learning and Decision-Making from Rank Data

The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference;

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Learning and Decision-Making from Rank Data

The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference;

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Learning and Decision-Making from Rank Data

The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference;

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Lecture Notes in Computational Intelligence and Decision Making

, machine learning and decision-making. The international scientific conference Intellectual Systems of Decision-Making and Problems;

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Machine Learning for Intelligent Decision Science

solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners;

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Machine Learning for Intelligent Decision Science

solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners;

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Bursting the Big Data Bubble

key factors in the executive decision-making process. Explaining how intuition is a product of past experience, learning, and ambient;

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Bursting the Big Data Bubble

key factors in the executive decision-making process. Explaining how intuition is a product of past experience, learning, and ambient;

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Lecture Notes in Computational Intelligence and Decision Making

presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: Analysis and Modeling;

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Applied Intelligent Decision Making in Machine Learning

, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications;

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Using Data to Improve Student Learning

clarifies what 'use of data' means and differentiates the different levels of decision-making in education (relating to the system, district, school;

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Data-based Decision Making in Education

In a context where schools are held more and more accountable for the education they provide, data-based decision making has become;

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Rank-Based Methods for Shrinkage and Selection

Shrinkage and Selection: With Application to Machine Learning describes techniques to produce higher quality data analysis in shrinkage and subset;

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Progress in Intelligent Decision Science

concepts and aspects of decision making with uncertainty. Besides, other chapters are involved with the concept of data mining and decision making;

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Decision Making, Affect, and Learning

research areas in cognitive and affective neuroscience - decision making and emotional processing. Decision Making, Affect, and Learning;

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Data-Driven Decision Making and Dynamic Planning

handbook for converting data into wise decision-making and planning. It will give you the skills to successfully- -Make data-based decisions;

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Data-Driven Decision Making and Dynamic Planning

handbook for converting data into wise decision-making and planning. It will give you the skills to successfully--Make data-based decisions;

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Deep Learning through Sparse and Low-Rank Modeling

Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models-those that emphasize problem;

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The Datafication of Education

digital data not only support decision making, but also fundamentally change the organisation of learning and teaching, and how these;

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Probabilistic Ranking Techniques in Relational Databases

Ranking queries are widely used in data exploration, data analysis and decision making scenarios. While most of the currently proposed;

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Data Analytics in the Era of the Industrial Internet of Things

platforms, machine learning (ML) and data science algorithms, and the power of visualization to enrich the domains experts' decision making. The;

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Data Analytics in the Era of the Industrial Internet of Things

platforms, machine learning (ML) and data science algorithms, and the power of visualization to enrich the domains experts' decision making. The;

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Advances in Decision Science and Management

that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore;

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Data Mining with Decision Trees

, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining;

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Meaningful Course Revision

and learning. By making student advancement its focal point, it offers guidance through * Data-based decision making * Designing course-based;

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Decision Making with Imperfect Decision Makers

computational decision making? What can we learn from natural, engineered, and social systems to help us address these issues?;

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