Narrow your search

Library

KBR (9)

UCLouvain (4)

KU Leuven (3)

UAntwerpen (3)

UGent (1)

UHasselt (1)

ULB (1)

ULiège (1)

VUB (1)


Resource type

book (9)


Language

English (9)


Year
From To Submit

1998 (1)

1993 (1)

1990 (2)

1989 (5)

Listing 1 - 9 of 9
Sort by

Book
The role of information scientists in the development of expert systems : interim report
Authors: --- ---
ISBN: 0712331905 Year: 1989 Volume: vol 57

The acquisition of strategic knowledge
Author:
ISBN: 0123047544 9780123047540 Year: 1989 Volume: 4 Publisher: Boston New York London Academic Press

The foundations of knowledge acquisition
Authors: ---
ISBN: 0121159221 9780121159221 Year: 1990 Volume: 4 Publisher: London Academic Press


Book
Knowledge acquisition : principles and guidelines
Authors: ---
ISBN: 0135170958 9780135170953 Year: 1989 Publisher: Englewood Cliffs Prentice-Hall

Exemplar-based knowledge acquisition : a unified approach to concept representation, classification, and learning
Author:
ISBN: 012078260X 1322459118 1483216373 9780120782604 Year: 1989 Volume: 2 Publisher: Boston New York Toronto Academic Press

Foundations of knowledge acquisition : machine learning
Authors: ---
ISBN: 0792392779 0792392787 0585273669 146136390X 1461531721 Year: 1993 Volume: SECS 194-195 Publisher: Boston ; Dordrecht ; London : Kluwer Academic Publishers,

Loading...
Export citation

Choose an application

Bookmark

Abstract

One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.

Constructive knowledge acquisition : a computational model and experimental evaluation
Author:
ISBN: 0805827242 Year: 1998 Publisher: Mahwah, N. J. London Lawrence Erlbaum Associates

Listing 1 - 9 of 9
Sort by