Results 51 to 60 of about 1,077,252 (284)

A Decision Tree Algorithm Based on Rough Set Theory after Dimensionality Reduction

open access: yesInternational Journal of Computer Applications, 2011
Decision tree technology has proven to be a valuable way of capturing human decision making within a computer. As ID3 select those attribute as splitting attributes which have different values whether it classify dataset properly or not. There is another drawback of ID3 which repeat sub tree many times and select same attribute many times.
Manisha Tantuway   +1 more
openaire   +1 more source

Reinforcement Learning via AIXI Approximation

open access: yes, 2010
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian optimality notion for general reinforcement learning agents.
Hutter, Marcus   +3 more
core   +2 more sources

Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis

open access: yesFEBS Open Bio, EarlyView.
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho   +4 more
wiley   +1 more source

Unbalanced Data Classification Based on Hesitant Fuzzy Decision Tree [PDF]

open access: yesJisuanji gongcheng, 2019
In order to optimize the classification effect of unbalanced data,an improved fuzzy decision tree algorithm is proposed combining the hesitant fuzzy set theory and the decision tree algorithm.The unbalanced data is oversampled by the SMOTE algorithm,the ...
ZHANG Xu, ZHOU Xinzhi, ZHAO Chengping, SHAO Lun
doaj   +1 more source

Cadabra: reference guide and tutorial [PDF]

open access: yes, 2006
Cadabra is a computer algebra system for the manipulation of tensorial mathematical expressions such as they occur in “field theory problems”. It is aimed at, but not necessarily restricted to, high-energy physicists.
Peeters, K.
core   +1 more source

Continuous-time vertex reinforced jump processes on Galton-Watson trees

open access: yes, 2012
We consider a continuous-time vertex reinforced jump process on a supercritical Galton-Watson tree. This process takes values in the set of vertices of the tree and jumps to a neighboring vertex with rate proportional to the local time at that vertex ...
Basdevant, Anne-Laure, Singh, Arvind
core   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

Data Mining and Analysis of the Compatibility Law of Traditional Chinese Medicines Based on FP-Growth Algorithm

open access: yesJournal of Mathematics, 2021
The compatibility law of prescriptions is the core link of TCM theory of “theory, method, prescription and medicine,” which is of great significance for guiding clinical practice, new drug development and revealing the scientific connotation of TCM ...
Shuchun Zhou
doaj   +1 more source

The radial spanning tree of a Poisson point process

open access: yes, 2007
We analyze a class of spatial random spanning trees built on a realization of a homogeneous Poisson point process of the plane. This tree has a simple radial structure with the origin as its root.
Baccelli, Francois, Bordenave, Charles
core   +1 more source

Characterization of Clinical Phenotype to Glial Fibrillary Acidic Protein Concentrations in Alexander Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman   +9 more
wiley   +1 more source

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