✦ LIBER ✦

THE USEFULNESS OF A MACHINE LEARNING APPROACH TO KNOWLEDGE ACQUISITION

✍ Scribed by Dobroslawa M. Grzymala-Busse; Jerzy W. Grzymala-Busse

Book ID: 110983934
Publisher: John Wiley and Sons
Year: 1995
Tongue: English
Weight: 742 KB
Volume: 11
Category: Article
ISSN: 0824-7935
DOI: 10.1111/j.1467-8640.1995.tb00032.x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Approaches to learning and the acquisiti

Approaches to learning and the acquisition of general knowledge

✍ Adrian Furnham; Andrew N. Christopher; Jeanette Garwood; G. Neil Martin 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 120 KB

A knowledge acquisition model for select

A knowledge acquisition model for selecting coordinate measuring machines using inductive learning

✍ Zone-Ching Lin; Q.Y. Liu 📂 Article 📅 2000 🏛 Taylor and Francis Group 🌐 English ⚖ 152 KB

Introduction: A sampler in knowledge acq

Introduction: A sampler in knowledge acquisition for the machine learning community

✍ Marcus, Sandra 📂 Article 📅 1989 🏛 Springer 🌐 English ⚖ 170 KB

A knowledge acquisition approach to deve

A knowledge acquisition approach to developing Mindtools for organizing and sharing differentiating knowledge in a ubiquitous learning environment

✍ Gwo-Jen Hwang; Hui-Chun Chu; Yu-Shih Lin; Chin-Chung Tsai 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 976 KB

A methodology of design knowledge acquis

A methodology of design knowledge acquisition for use in learning expert systems

✍ Tomasz Arciszewski; M. Mustafa; Wojciech Ziarko 📂 Article 📅 1987 🏛 Elsevier Science ⚖ 576 KB

This paper presents an approach to design conceptual knowledge acquisition. The approach was basically developed for knowledge acquisition in BRZDY1, a learning expert system for conceptual design currently under development. A formal identification of qualitative, conceptual design decisions, based

A review of machine learning approaches

A review of machine learning approaches to Spam filtering

✍ Thiago S. Guzella; Walmir M. Caminhas 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 480 KB