Results 131 to 140 of about 1,047,288 (209)

Correlations in Uniform Spanning Trees: a Fermionic Approach. [PDF]

J Stat Phys
Rapoport A.
europepmc   +1 more source

UpStory: the uppsala storytelling dataset. [PDF]

Front Robot AI
Fraile M, Calvo-Barajas N, Apeiron AS, Varni G, Lindblad J, Sladoje N, Castellano G.   +6 more
europepmc   +1 more source

Shannon Entropy and Informational Redundancy in Minimally Monophyletic Bryophyte Genera. [PDF]

Plants (Basel)
Zander RH.
europepmc   +1 more source

Toward understanding apoplastic freezing under negative pressure. [PDF]

New Phytol
Ingram S, Zanetti A, Mustonen L, Piedehierro AA, Laaksonen A, Lintunen A.   +5 more
europepmc   +1 more source

Predicting Waiting Times for Medical Tasks in a Pediatric Hospital Using Machine Learning: Comprehensive, Retrospective, Real-World Study.

JMIR Med Inform
Guo LL, Tang R, Wang JY, Zheng S, Zeng Y, Hou J, Dong MC, Li J, Cui Y.   +8 more
europepmc   +1 more source

The branching structure of trees on directed sets (Combinatorial and Descriptive Set Theory)

The branching structure of trees on directed sets (Combinatorial and Descriptive Set Theory)
openaire  

An Algorithm for Decision Tree Construction Based on Rough Set Theory

2008 International Conference on Computer Science and Information Technology, 2008
In this paper, a novel and effective algorithm is introdcued for constructing decision tree. First of all, the knowledge dependence in rough set theory is used to reduce the test attribute set of decision tree, that is, the test attribute space is optimized and hence the attributes which are not correlated with the decision information are deleted ...
Cuiru Wang, Fangfang Ou
openalex   +3 more sources

An Optimized Parallel Decision Tree Model Based on Rough Set Theory

, 2008
This paper presents an optimized parallel decision tree model based on rough set theory, first the model divides global database into subsets, then using the intuitive classification ability of decision tree to learn the rules in each subset, at last merge each subset's rule set to obtain the global rule set.
Xiaowang Ye, Zhijing Liu
openalex   +3 more sources

A New Decision Tree Algorithm Based on Rough Set Theory

2009 Asia-Pacific Conference on Information Processing, 2009
Decision tree algorithm has been widely used to classify numeric and categorical attributes. Lots of approaches were suggested in order to induce decision trees. ID3 (Quinlan, 1986), as a heuristic algorithm, is very classic and popular in the induction of decision trees.
Baoshi Ding, Yongqing Zheng, Shaoyu Zang
openalex   +3 more sources

Fuzzy Set Theory and Fault Tree Analysis based Method Suitable for Fault Diagnosis of Power Transformer

2007 International Conference on Intelligent Systems Applications to Power Systems, 2007
The fault detection and analysis for power transformer are the key measures to improve the security of power systems and the reliability of power supply. Due to the complicity of the power transformer structure and the variations in operating conditions, the occurrence of a fault inside power transformer is uncertain and random.
Tong Wu, Guangyu Tu, Z. Q. Bo, A. Klimek
openalex   +3 more sources