112,670 research outputs found
author-bios-SRD-19-0063.R1 – Supplemental material for The Network Structure of Police Misconduct
Supplemental material, author-bios-SRD-19-0063.R1 for The Network Structure of Police Misconduct by George Wood, Daria Roithmayr and Andrew V. Papachristos in Socius</p
Duce, an Oracle Based Approach to Constructive Induction
Duce 1 is a Machine Learning system which suggests high-level domain features to the user (or oracle on the basis of a set of example object descriptions. Six transformation operators are used to successively compress the given examples by generalisation and feature construction. In this paper Duce is illustrated by way of its construction of a simple animal taxonomy and a hierarchical parity checker. However, Duce's main achievement has been the restructuring of a substantial expert system for deciding whether positions within the chess endgame of King-and-Pawn-on-a7 v. Kingand -Rook (KPa7KR) are won-for-white or not. The new concepts suggested by Duce for the chess expert system hierarchy were found to be meaningful by the chess expert Ivan Bratko. An existing manually created KPa7KR solution, which was the basis of a recent PhD thesis [ 20 ] , is compared to the structure interactively created by Duce. A second major expert system application of Duce was made within a diagnostic ..
Coach Duce Belford and Basketball team practice
Coach and team of men's basketball and dressed in t-shirts and shorts or sweatpants, kneel on the indoor gymnasium court for this group photograph. Left to right: Coach J. V. (Duce) Belford, Bob Gradoville, Jim Karabatsos, Subby Salerno, Ernie Flecky, Frank Gilchrist, Pinkey Knowles, Gene Lally, Dick Wiedenfield, Tom Belford. All Letterme
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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