245 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Explanation-based learning (EBL) is a learning method which uses existing knowledge of the domain to construct an explanation for why a specific example is a member of a concept or why a specific combination of actions achieves a goal. This explanation is then generalized in an analytical manner in order to produce a general concept description or plan schema. Although a number of exploratory EBL systems which operate in particular domains have previously been constructed, recent research in this area has led to the development of general mechanisms which can perform explanation-based learning in a wide variety of domains.This thesis describes a general EBL mechanism, EG...
Similarity-based learning, which involves largely structural comparisons of instances, and explanati...
Existing machine learning programs possess only limited abilities to exploit previously acquired bac...
Explanation based learning has typically been considered a symbolic learning method. An explanation ...
"Explanation-Based learning" (EBl) is a technique by which an intelligent system can learn by observ...
290 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Explanation-based learning is...
Explanations have become increasingly recognized as central to learning and intelligence. To explore...
A number of problems confront standard automatic programming methods. One problem is that the combi...
In technical domains, instructional materials often convey important concepts by means of explanatio...
The process of explaining something to another person is more than offering a statement. Explaining ...
In this paper, I expanded comprehension strategies on reading expository texts with a focus on narra...
193 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Researchers in a new subfield...
This paper presents an overview of explanation-based learning (EBL) where the descriptions of EBL me...
In this paper, the author examines the concept of explorable explanations. It has emerged as a genre...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
Similarity-based learning, which involves largely structural comparisons of instances, and explanati...
Existing machine learning programs possess only limited abilities to exploit previously acquired bac...
Explanation based learning has typically been considered a symbolic learning method. An explanation ...
"Explanation-Based learning" (EBl) is a technique by which an intelligent system can learn by observ...
290 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Explanation-based learning is...
Explanations have become increasingly recognized as central to learning and intelligence. To explore...
A number of problems confront standard automatic programming methods. One problem is that the combi...
In technical domains, instructional materials often convey important concepts by means of explanatio...
The process of explaining something to another person is more than offering a statement. Explaining ...
In this paper, I expanded comprehension strategies on reading expository texts with a focus on narra...
193 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Researchers in a new subfield...
This paper presents an overview of explanation-based learning (EBL) where the descriptions of EBL me...
In this paper, the author examines the concept of explorable explanations. It has emerged as a genre...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
Similarity-based learning, which involves largely structural comparisons of instances, and explanati...
Existing machine learning programs possess only limited abilities to exploit previously acquired bac...
Explanation based learning has typically been considered a symbolic learning method. An explanation ...