WorldCat Identities

Tecuci, Gheorghe

Overview
Works: 47 works in 111 publications in 2 languages and 945 library holdings
Genres: Conference papers and proceedings 
Roles: Author, Editor, Other
Classifications: Q325, 001.535
Publication Timeline
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Most widely held works by Gheorghe Tecuci
Building intelligent agents : an apprenticeship multistrategy learning theory, methodology, tool and case studies by Gheorghe Tecuci( Book )

12 editions published in 1998 in English and held by 273 WorldCat member libraries worldwide

Machine learning and knowledge acquisition : integrated approaches( Book )

8 editions published in 1995 in English and held by 183 WorldCat member libraries worldwide

Machine learning and knowledge acquisition represent two complementary approaches to the acquisition and organization of knowledge for knowledge-based systems. Machine learning has focused on developing autonomous algorithms for acquiring knowledge as data and for knowledge compilation and organization. In contrast, knowledge acquisition has focused on improving and partially automating the acquisition of knowledge from human experts by knowledge engineers
Machine learning : an artificial intelligence approach by Ryszard Stanisław Michalski( Book )

17 editions published between 1983 and 1994 in English and Undetermined and held by 83 WorldCat member libraries worldwide

Machine Learning: An Artificial Intelligence Approach, Volume III presents a sample of machine learning research representative of the period between 1986 and 1989. The book is organized into six parts. Part One introduces some general issues in the field of machine learning. Part Two presents some new developments in the area of empirical learning methods, such as flexible learning concepts, the Protos learning apprentice system, and the WITT system, which implements a form of conceptual clustering. Part Three gives an account of various analytical learning methods and how analytic learning c
Knowledge engineering : building cognitive assistants for evidence-based reasoning by Gheorghe Tecuci( Book )

7 editions published in 2016 in English and held by 46 WorldCat member libraries worldwide

This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of intelligent agents that use knowledge and reasoning to perform problem solving and decision-making tasks. It covers the main stages in the development of a knowledge-based agent: understanding the application domain, modeling problem solving in that domain, developing the ontology, learning the reasoning rules, and testing the agent. The book focuses on a special class of agents: cognitive assistants for evidence-based reasoning that learn complex problem-solving expertise directly from human experts, support experts, and nonexperts in problem solving and decision making, and teach their problem-solving expertise to students. A powerful learning agent shell, Disciple-EBR, is included with the book, enabling students, practitioners, and researchers to develop cognitive assistants rapidly in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cybersecurity, law, forensics, medicine, and education
Intelligence analysis as discovery of evidence, hypotheses, and arguments : connecting the dots by Gheorghe Tecuci( Book )

8 editions published in 2016 in English and held by 32 WorldCat member libraries worldwide

This unique book on intelligence analysis covers several vital but often overlooked topics. It teaches the evidential and inferential issues involved in 'connecting the dots' to draw defensible and persuasive conclusions from masses of evidence: from observations we make, or questions we ask, we generate alternative hypotheses; we make use of our hypotheses to generate new lines of inquiry and evidence; and we test the hypotheses on the basis of the evidence we are discovering. To facilitate the learning of these issues and enable the performance of complex analyses, the book introduces an intelligent analytical tool, called Disciple-CD. Readers will practice with Disciple-CD and learn how to formulate hypotheses; develop arguments that reduce complex hypotheses to simpler ones; collect evidence to evaluate the simplest hypotheses; assess the relevance, believability, and inferential force of evidence; and finally judge the probability of the hypotheses
Proceedings of the First International Workshop on Multistrategy Learning (MSL-91) : November 7-9, 1991, Harpers Ferry by International Workshop on Multistrategy Learning( Book )

3 editions published in 1991 in English and held by 16 WorldCat member libraries worldwide

Proceedings of the Second International Workshop on Multistrategy Learning : May 26-29, 1993, Harpers Ferry by International Workshop on Multistrategy Learning( Book )

3 editions published in 1993 in English and held by 6 WorldCat member libraries worldwide

Conceptual distance-based learning by Yves Kodratoff( Book )

3 editions published in 1986 in English and Undetermined and held by 5 WorldCat member libraries worldwide

How to learn it with disciple by Gheorghe Tecuci( Book )

3 editions published in 1990 in English and held by 4 WorldCat member libraries worldwide

Reducing uncertainty through learning by Gheorghe Tecuci( Book )

2 editions published in 1990 in English and held by 4 WorldCat member libraries worldwide

Apprenticeship learning in nonhomogeneous domain theories by Gheorghe Tecuci( Book )

2 editions published in 1988 in English and held by 4 WorldCat member libraries worldwide

Disciple : an interative approach to learning apprentice systems by Yves Kodratoff( Book )

2 editions published in 1986 in English and held by 4 WorldCat member libraries worldwide

Introducere in Internet : note de curs( Book )

2 editions published between 1996 and 1997 in Romanian and held by 3 WorldCat member libraries worldwide

Disciple : an integrated expert and learning system for weak theory domains by Yves Kodratoff( Book )

2 editions published in 1987 in English and held by 2 WorldCat member libraries worldwide

Multistrategy learning by Ryszard Stanisław Michalski( Book )

2 editions published between 1993 and 1994 in English and held by 2 WorldCat member libraries worldwide

Most machine learning research has been concerned with the development of systems that implememnt one type of inference within a single representational paradigm. Such systems, which can be called monostrategy learning systems, include those for empirical induction of decision trees or rules, explanation-based generalization, neural net learning from examples, genetic algorithm-based learning, and others. Monostrategy learning systems can be very effective and useful if learning problems to which they are applied are sufficiently narrowly defined. Many real-world applications, however, pose learning problems that go beyond the capability of monostrategy learning methods. In view of this, recent years have witnessed a growing interest in developing multistrategy systems, which integrate two or more inference types and/or paradigms within one learning system. Such multistrategy systems take advantage of the complementarity of different inference types or representational mechanisms. Therefore, they have a potential to be more versatile and more powerful than monostrategy systems. On the other hand, due to their greater complexity, their development is significantly more difficult and represents a new great challenge to the machine learning community. Multistrategy Learning contains contributions characteristic of the current research in this area
DISCIPLE a theory, methodology and system for learning expert knowledge by Gheorghe Tecuci( Book )

1 edition published in 1988 in English and held by 2 WorldCat member libraries worldwide

This thesis presents DISCIPLE, a system illustrating a theory and a methodology for learning expert knowledge. DISCIPLE integrates a learning system and an empty expert system, both using the same knowledge base. It is provided with an initial domain theory and learns problem solving rules from the problem solving steps received from its expert user, during interactive problem solving sessions. In this way, DISCIPLE evolves from a helpful assistant in problem solving to a genuine expert. The problem solving method of DISCIPLE combines problem reduction, problem solving by constraints, and problem solving by analogy. The learning method of DISCIPLE depends of its knowledge about the problem solving step (the example) from which it learns. In the context of a complete theory about the example, DISCIPLE uses explanation based learning to improve its performance. In the context of a weak theory about the example, it synergistically combines explanation - based learning, learning by analogy, and empirical learning, developing its competence. In the context of an incomplete theory about the example, DISCIPLE learns by Combining the above mentioned methods, improving both its competence and performance
Mihai Drăgănescu în medias res( Book )

1 edition published in 2004 in Romanian and held by 2 WorldCat member libraries worldwide

Constructing and Refining Knowledge Bases: A Collaborative Apprenticeship Multistrategy Learning Approach( Book )

2 editions published in 2000 in English and held by 1 WorldCat member library worldwide

This research has developed a theory, methodology and learning agent shell for development of knowledge bases and knowledge-based agents, by domain experts, with limited assistance from knowledge engineers. The main feature of this approach is that a subject matter expert communicates his or her expertise to the learning agent in a very natural way, similar to how the expert would communicate it to a human apprentice while solving problems in cooperation. Starting from an initial ontology, an expert may teach the agent how to solve a certain type of problem by providing a concrete example, helping the agent to understand the solution, supervising the agent as it attempts to solve new problems, and correcting its mistakes. Through such natural interactions, the agent will be guided in learning complex problem solving rules, and in extending and correcting its knowledge base. This research has been done in the context of the DARPA High Performance Knowledge Bases program, where it has been applied to two challenge problems, the Workaround challenge problem, and the Course of Action challenge problem. The agent development approach and the two developed agents have been evaluated in several intensive studies, and have demonstrated very good results
2013 12th International Conference on Machine Learning and Applications (ICMLA 2013) : Miami, Florida, USA, 4 - 7 December 2013; [proceedings] by International Conference on Machine Learning and Applications( )

1 edition published in 2013 in English and held by 0 WorldCat member libraries worldwide

 
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Building intelligent agents : an apprenticeship multistrategy learning theory, methodology, tool and case studies
Alternative Names
Tecuci, G.

Tecuci, G. 1954-

Tecuci, G. (Gheorghe)

Languages
Covers
Machine learning and knowledge acquisition : integrated approachesMachine learning : an artificial intelligence approach