Inadequacy of the classification of coarse-grained soils. Technical note

1991 ◽  
Vol 28 (1) ◽  
pp. A27
Keyword(s):  
Technical Note ◽  
Coarse Grained

scholarly journals Technical note: Towards a continuous classification of climate using bivariate colour mapping

2011 ◽  
Vol 15 (10) ◽  
pp. 3071-3075 ◽  
Author(s):  
A. J. Teuling
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Technical Note ◽  
Climate System ◽  
Global Distribution

Abstract. Climate is often defined in terms of discrete classes. Here I use bivariate colour mapping to show that the global distribution of Köppen-Geiger climate classes can largely be reproduced by combining the simple means of two key states of the climate system (i.e. air temperature and relative humidity). This allows for a classification that is not only continuous in space, but can be applied at and transferred between timescales ranging from days to decades.

A Method of Subtopic Classification of Search Engine Suggests by Integrating a Topic Model and Word Embeddings

2018 ◽  
Vol 6 (3) ◽  
pp. 67-78
Author(s):  
Tian Nie ◽  
Yi Ding ◽  
Chen Zhao ◽  
Youchao Lin ◽  
Takehito Utsuro
Keyword(s):  
Search Engine ◽  
Information Needs ◽  
Web Search ◽  
Topic Model ◽  
Japanese Version ◽  
Word Embedding ◽  
Coarse Grained ◽  
Web Pages ◽  
Word Embeddings

The background of this article is the issue of how to overview the knowledge of a given query keyword. Especially, the authors focus on concerns of those who search for web pages with a given query keyword. The Web search information needs of a given query keyword is collected through search engine suggests. Given a query keyword, the authors collect up to around 1,000 suggests, while many of them are redundant. They classify redundant search engine suggests based on a topic model. However, one limitation of the topic model based classification of search engine suggests is that the granularity of the topics, i.e., the clusters of search engine suggests, is too coarse. In order to overcome the problem of the coarse-grained classification of search engine suggests, this article further applies the word embedding technique to the webpages used during the training of the topic model, in addition to the text data of the whole Japanese version of Wikipedia. Then, the authors examine the word embedding based similarity between search engines suggests and further classify search engine suggests within a single topic into finer-grained subtopics based on the similarity of word embeddings. Evaluation results prove that the proposed approach performs well in the task of subtopic classification of search engine suggests.

Inadequacy in the Classification of Coarse-Grained Soils

1990 ◽  
Vol 13 (2) ◽  
pp. 134
Author(s):  
PC Knodel ◽  
N Sivakugan
Keyword(s):  
Coarse Grained

Classification of Disjunctivism about the Phenomenology of Visual Experience

2019 ◽  
Vol 44 ◽  
pp. 89-110
Author(s):  
Takuya Niikawa ◽  
Keyword(s):  
Perceptual Experience ◽  
Visual Experience ◽  
Coarse Grained ◽  
Veridical Perception ◽  
Explanatory Status

This paper proposes a classificatory framework for disjunctivism about the phenomenology of visual perceptual experience. Disjunctivism of this sort is typically divided into positive and negative disjunctivism. This distinction successfully reflects the disagreement amongst disjunctivists regarding the explanatory status of the introspective indiscriminability of veridical perception and hallucination. However, it is unsatisfactory in two respects. First, it cannot accommodate eliminativism about the phenomenology of hallucination. Second, the class of positive disjunctivism is too coarse-grained to provide an informative overview of the current dialectical landscape. Given this, I propose a classificatory framework which preserves the positive-negative distinction, but which also includes the distinction between eliminativism and non-eliminativism, as well as a distinction between two subclasses of positive disjunctivism. In describing each class in detail, I specify who takes up each position in the existing literature, and demonstrate that this classificatory framework can disambiguate some existing disjunctivist views.

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