English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Machine Learning: A Guide to Current Research provides a collection of current research papers mostly collected form participants at the Third International Machine Learning Workshop held in 1985. These 77 separate papers were collected and reformatted at Rutgers to produce a consistent format and a common bibliography. The range of learning topics include (taken from the preface): analogy, conceptual clustering, explanation-based generalization, incremental learning, inductive inference, learning apprentice systems, machine discovery, theoretical models, and applications. All of these topics, except incremental and apprentice systems are included as heading in the index. Other useful index headings include research institution (a few are missing, primarily those where the several authors are from more than one place) and program name. The papers are short; the average length of five pages per paper, based on the number of papers and the length of the book, overstates their length because of blank pages due to formatting considerations. In the short space for each paper it is not possible to explain in detail how anything is done. There is space only to say what is being done by the system. Thus, the bibliographic references become important for a deeper understanding of individual techniques.

Book review: LISP LORE: A Guide to Programming the LISP Machine, (2nd Edition) by Hank Bromley and Richard Lamson (Kluwer Academic Publishers)