Results 91 to 100 of about 3,636,570 (292)

Decision diagrams in machine learning: an empirical study on real-life credit-risk data. [PDF]

open access: yes
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result of which the produced classifiers might become too large to be ...
Files, CM   +3 more
core  

Visualizing Sets with Linear Diagrams [PDF]

open access: yes, 2015
This paper presents the first design principles that optimize the visualization of sets using linear diagrams. These principles are justified through empirical studies that evaluate the impact of graphical features on task performance.
Rodgers, Peter   +5 more
core   +2 more sources

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno   +19 more
wiley   +1 more source

Partial Binary Decision Diagrams

open access: yes, 2008
--Decision diagrams provide compact representations for discrete functions. There are some functions for which binary decision diagrams reach exponential size.

core  

Dictionary Encoding Based on Tagged Sentential Decision Diagrams

open access: yesAlgorithms
Encoding a dictionary into another representation means that all the words can be stored in the dictionary in a more efficient way. In this way, we can complete common operations in dictionaries, such as (1) searching for a word in the dictionary, (2 ...
Deyuan Zhong   +2 more
doaj   +1 more source

Ordered Binary Decision Diagrams as Knowledge-Bases

open access: yesArtificial Intelligence, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Takashi Horiyama, Toshihide Ibaraki
openaire   +3 more sources

White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram   +3 more
wiley   +1 more source

Proceedings of the 3rd International Workshop on Euler Diagrams (Euler Diagrams 2012) [PDF]

open access: yes, 2012
The 3rd International Workshop on Euler Diagrams (Euler Diagrams 2012) was held in Canterbury, UK on 2nd July 2012 in conjunction with the 7th International Conference on the Theory and Application of Diagrams (Diagrams 2012). Euler diagrams represent
Micallef, Luana
core  

Impact of Age on the Diagnostic Yield of Routine EEG in People With Childhood or Juvenile Absence Epilepsy: A Cross‐Sectional Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato   +7 more
wiley   +1 more source

Mining simple and complex patterns efficiently using Binary Decision Diagrams [PDF]

open access: yes, 2009
© 2009 Dr. Elsa LoekitoPattern mining is a knowledge discovery task which is useful for finding interesting data characteristics. Existing mining techniques sometimes suffer from limited performance in challenging situations, such as when finding ...
Loekito, E.
core   +1 more source

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