Results 91 to 100 of about 4,043,886 (303)
Rowan Tree Church. Annual Report, Hallows 1983-1984 ce [PDF]
The Rowan Tree Church is an earth-based religion founded by Rev. Paul Beyerl, a Third Degree Initiate in the Alexandrian Tradition of Wicca, and incorporated on February 4, 1980 in Minneapolis, Minnesota.
Rowan Tree Church
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ABSTRACT Objective Neuromyelitis optica spectrum disorder (NMOSD) is a devastating neurological disease that lacks serological biomarkers that can accurately reflect disease activity. We established a live cell‐based assay (LCBA) using serum with endogenous complement to quantify the overall cytotoxicity, offering a novel functional tool for monitoring
Xiaona Xu +10 more
wiley +1 more source
Trajectories of Physical Function in Canadian Children With Juvenile Idiopathic Arthritis
Objective We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham +81 more
wiley +1 more source
The Rowan Tree Church 20th Annual Report, Hallows 2001 ce-Hallows 2002 ce. [PDF]
This digital asset was created from the original digital scans by Rev. Paul V. Beyerl and provided to the Valdosta State University, Archives & Special Collections to be part of their Rowan Tree Church Periodicals Collection of the New Age Movements ...
Rowan Tree Church
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Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients who were newly diagnosed with PsA between 2013 and 2023.
Batoul Hojeij +11 more
wiley +1 more source
Neurosymbolic (NeSy) AI studies the integration of neural networks (NNs) and symbolic reasoning based on logic. Usually, NeSy techniques focus on learning the neural, probabilistic and/or fuzzy parameters of NeSy models. Learning the symbolic or logical structure of such models has, so far, received less attention.
Matthias Möller +3 more
openaire +3 more sources
A mass assignment based ID3 algorithm for decision tree induction [PDF]
A mass assignment based ID3 algorithm for learning probabilistic fuzzy decision trees is introduced. Fuzzy partitions are used to discretize continuous feature universes and to reduce complexity when universes are discrete but with large cardinalities ...
Baldwin, JF, Martin, TP, Lawry, J
core +1 more source
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source
In this paper, we study testing decision tree of size and depth that are significantly smaller than the number of attributes n. Our main result addresses the problem of poly(n,1/ε) time algorithms with poly(s,1/ε) query complexity (independent of n) that distinguish between functions that are decision trees of size s from functions that are ε-far from ...
Bshouty, Nader H. +1 more
openaire +3 more sources
Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction [PDF]
This paper demonstrates how unsupervised cross-lingual adaptation of HMM-based speech synthesis models may be performed without explicit knowledge of the adaptation data language.
Teemu Hirsimaki +5 more
core +2 more sources

