AN HEURISTIC CLASSIFICATION OF STUTTERING

1956 ◽  
Vol 6 ◽  
pp. 21
Author(s):  
LEROI MADISON
Keyword(s):  
Heuristic Classification

scholarly journals A heuristic classification of woody plants based on contrasting shade and drought strategies

2019 ◽  
Vol 39 (5) ◽  
pp. 767-781 ◽  
Author(s):  
Liang Wei ◽  
Chonggang Xu ◽  
Steven Jansen ◽  
Hang Zhou ◽  
Bradley O Christoffersen ◽  
...  
Keyword(s):  
Woody Plants ◽  
Heuristic Classification

HEURISTIC CLASSIFICATION OF OFFICE DOCUMENTS

1994 ◽  
Vol 03 (02) ◽  
pp. 233-265 ◽  
Author(s):  
XIAOLONG HAO ◽  
JASON T.L. WANG ◽  
MICHAEL P. BIEBER ◽  
PETER A. NG
Keyword(s):  
Conceptual Structure ◽  
Document Classification ◽  
Office Workers ◽  
Document Type ◽  
Major Function ◽  
Conceptual Structures ◽  
Heuristic Classification ◽  
Labeled Tree ◽  
Attribute Type

Document Processing Systems (DPSs) support office workers to manage information. Document classification is a major function of DPSs. By analyzing a document’s layout and conceptual structures, we present in this paper a sample-based approach to document classification. We represent a document’s layout structure by an ordered labeled tree through a procedure known as nested segmentation and represent the document’s conceptual structure by a set of attribute type pairs. The layout similarities between the document to be classified and sample documents are determined by a previously developed approximate tree matching toolkit. The conceptual similarities between the documents are determined by analyzing their contents and by calculating the degree of conceptual closeness. The document type is identified by computing both the layout and conceptual similarities between the document to be classified and the samples in the document sample base. Some experimental results are presented, which demonstrate the effectiveness of the proposed techniques.

scholarly journals Heuristic Classification of an Intransitively Ordered Set

1983 ◽  
Vol 19 (2) ◽  
pp. 144-150
Author(s):  
Yajiro MORITA ◽  
Yuzo OKA ◽  
Haruo NIWAYA
Keyword(s):  
Ordered Set ◽  
Heuristic Classification

An Heuristic Classification of Stuttering

1956 ◽  
Vol 6 (1) ◽  
pp. 21-24
Author(s):  
Leroi Madison
Keyword(s):  
Heuristic Classification

scholarly journals Improved method of heuristic classification of vowels from an acoustic signal

2018 ◽  
Vol 26 (6) ◽  
pp. 2901-2915 ◽  
Author(s):  
Josef KROCIL ◽  
Zdenek MACHACEK ◽  
Jiri KOZIOREK ◽  
Radek MARTINEK ◽  
Jan NEDOMA ◽  
...  
Keyword(s):  
Acoustic Signal ◽  
Improved Method ◽  
Heuristic Classification

scholarly journals An Investigation of the Translational Asset: A Proposed Classification

2021 ◽  
Author(s):  
Gennaro Strazzullo ◽  
William J. Ion ◽  
Jillian MacBryde
Keyword(s):  
Critical Role ◽  
Innovation System ◽  
Organisational Structure ◽  
Critical Factors ◽  
Industry Collaboration ◽  
Controversial Topic ◽  
Heuristic Classification ◽  
The University ◽  
University Industry

AbstractTranslational assets (TAs) are considered one of the actors that play a critical role within the national innovation system (NIS) of every country that embraces university, government, and industry collaboration. Moreover, these organisations have been established to support industries, companies, and particularly SMEs, filling the university-industry gap. Although the establishment of translational assets creates many benefits, this organisational ecosystem has been a controversial topic. It is hampered by a lack of consensus on how to define and classify translational assets. The problem arises because of their heterogeneity. This study identifies the critical factors for presenting a general classification from the analysis of academic papers and technical reports. The proposed classification is built, showing the factors of organisational structure, resources, and motivation for collaboration on a bidirectional continuum. Therefore, this paper’s findings provide a proposed classification of three main types of TAs, which are as follows: exploratory, plug, and developer/solver. This is a heuristic classification that provides enrichment to the literature and a better understanding for practitioners of these organisations' behaviour.

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Sign in / Sign up

Export Citation Format

Share Document