Results 241 to 250 of about 42,531 (299)
Grieving in virtual worlds: emotional processes and generational differences in avatar-based memorials on VRChat. [PDF]
Front PsycholFu M, Xiao H, Ruan H, Lin Y, Dong X.
europepmc +1 more source
<i>FIAT LUX</i>: The Mullein's (<i>Verbascum</i> sp.) Image and Its Symbology Through History Within the Euro-Mediterranean Culture. [PDF]
Plants (Basel)Soldovieri N +4 more
europepmc +1 more source
Between regulatory functions and emotional burden: balancing engagement in digital health interventions for self-care in chronic illness. [PDF]
Front PsycholLemmo D +6 more
europepmc +1 more source
From Social to Symbolic: Investigating the Neural Networks Involved in Emoji and Facial Expression Recognition. [PDF]
Brain TopogrProverbio AM, Bacciocchi L, Pavoni A.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
International Journal of Signs and Semiotic Systems, 2014
Standard data mining techniques no longer adequately represent the complexity of the world. So, a new paradigm is necessary. Symbolic Data Analysis is a new type of data analysis that allows us to represent the complexity of reality, maintaining the internal variation and structure developed by Diday (2003). This new paradigm is based on the concept of
Sandra Elizabeth González Císaro +1 more
openaire +1 more source
Standard data mining techniques no longer adequately represent the complexity of the world. So, a new paradigm is necessary. Symbolic Data Analysis is a new type of data analysis that allows us to represent the complexity of reality, maintaining the internal variation and structure developed by Diday (2003). This new paradigm is based on the concept of
Sandra Elizabeth González Císaro +1 more
openaire +1 more source
Symbolic Objects and Symbolic Data Analysis
2005Today’s technology allows storing vast quantities of information from different sources in nature. This information has missing values, nulls, internal variation, taxonomies, and rules. We need a new type of data that allow us to represent the complexity of reality, maintaining the internal variation and structure (Bock & Diday, 2000; Diday, 2002 ...
Héctor Oscar Nigro +1 more
openaire +1 more source
Principal component analysis of interval data: a symbolic data analysis approach
Computational Statistics, 2000Statistical methods have been mainly developed for the analysis of single-valued variables. However, in real life there are many situations in which the use of these variables may cause severe loss of information. Dealing with quantitative variables, there are many cases in which a more complete information can be surely achieved by describing a set of
LAURO, NATALE, PALUMBO, FRANCESCO
openaire +3 more sources
Data base for symbolic network analysis
IEE Proceedings G (Electronic Circuits and Systems), 1981A data base for generating the symbolic transfer functions for a linear electronic circuit is formulated and an appropriate retrieval theorem derived. The size of the required data base is 0 (n2) independently of the number of simultaneously varying parameters, where n is the total number of component output terminals, and the cost of retrieval is 0 ...
C.-C. Wu, R. Saeks
openaire +1 more source
Principles on Symbolic Data Analysis
2009Today’s technology allows storing vast quantities of information from different sources in nature. This information has missing values, nulls, internal variation, taxonomies, and rules. We need a new type of data analysis that allows us represent the complexity of reality, maintaining the internal variation and structure (Diday, 2003). In Data Analysis
Héctor Oscar Nigro +1 more
openaire +1 more source