scholarly journals Combining static analysis with probabilistic models to enable market-scale Android inter-component analysis

2016 ◽  
Vol 51 (1) ◽  
pp. 469-484 ◽  
Author(s):  
Damien Octeau ◽  
Somesh Jha ◽  
Matthew Dering ◽  
Patrick McDaniel ◽  
Alexandre Bartel ◽  
...  
Keyword(s):  
Static Analysis ◽  
Probabilistic Models ◽  
Component Analysis

scholarly journals Visualizing probabilistic models and data with Intensive Principal Component Analysis

2019 ◽  
Vol 116 (28) ◽  
pp. 13762-13767
Author(s):  
Katherine N. Quinn ◽  
Colin B. Clement ◽  
Francesco De Bernardis ◽  
Michael D. Niemack ◽  
James P. Sethna
Keyword(s):  
Principal Component Analysis ◽  
Cold Dark Matter ◽  
Probabilistic Models ◽  
Specific Problem ◽  
Principal Component ◽  
Component Analysis ◽  
Underlying Structure ◽  
Microwave Background ◽  
High Dimensions ◽  
Data Points

Unsupervised learning makes manifest the underlying structure of data without curated training and specific problem definitions. However, the inference of relationships between data points is frustrated by the “curse of dimensionality” in high dimensions. Inspired by replica theory from statistical mechanics, we consider replicas of the system to tune the dimensionality and take the limit as the number of replicas goes to zero. The result is intensive embedding, which not only is isometric (preserving local distances) but also allows global structure to be more transparently visualized. We develop the Intensive Principal Component Analysis (InPCA) and demonstrate clear improvements in visualizations of the Ising model of magnetic spins, a neural network, and the dark energy cold dark matter (ΛCDM) model as applied to the cosmic microwave background.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

A component analysis of cognitive-behavioral treatment for depression.

2000 ◽  
Vol 3 ◽  
pp. np
Author(s):  
Keith S. Dobson ◽  
Paula A. Truax ◽  
Michael E. Addis ◽  
Kelly Koerner ◽  
Jackie K. Gollan ◽  
...  
Keyword(s):  
Behavioral Treatment ◽  
Component Analysis ◽  
Cognitive Behavioral ◽  
Cognitive Behavioral Treatment
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