scholarly journals Complex Networks Govern Coiled-Coil Oligomerization – Predicting and Profiling by Means of a Machine Learning Approach

2011 ◽  
Vol 10 (5) ◽  
pp. M110.004994 ◽  
Author(s):  
Carsten C. Mahrenholz ◽  
Ingrid G. Abfalter ◽  
Ulrich Bodenhofer ◽  
Rudolf Volkmer ◽  
Sepp Hochreiter
Keyword(s):  
Machine Learning ◽  
Complex Networks ◽  
Coiled Coil ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals Quantitative criticism of literary relationships

2017 ◽  
Vol 114 (16) ◽  
pp. E3195-E3204 ◽  
Author(s):  
Joseph P. Dexter ◽  
Theodore Katz ◽  
Nilesh Tripuraneni ◽  
Tathagata Dasgupta ◽  
Ajay Kannan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Complex Networks ◽  
Cultural Evolution ◽  
Quantitative Data ◽  
Inflection Point ◽  
Learning Approach ◽  
Latin Literature ◽  
Diverse Range ◽  
Prose Style ◽  
Machine Learning Approach

Authors often convey meaning by referring to or imitating prior works of literature, a process that creates complex networks of literary relationships (“intertextuality”) and contributes to cultural evolution. In this paper, we use techniques from stylometry and machine learning to address subjective literary critical questions about Latin literature, a corpus marked by an extraordinary concentration of intertextuality. Our work, which we term “quantitative criticism,” focuses on case studies involving two influential Roman authors, the playwright Seneca and the historian Livy. We find that four plays related to but distinct from Seneca’s main writings are differentiated from the rest of the corpus by subtle but important stylistic features. We offer literary interpretations of the significance of these anomalies, providing quantitative data in support of hypotheses about the use of unusual formal features and the interplay between sound and meaning. The second part of the paper describes a machine-learning approach to the identification and analysis of citational material that Livy loosely appropriated from earlier sources. We extend our approach to map the stylistic topography of Latin prose, identifying the writings of Caesar and his near-contemporary Livy as an inflection point in the development of Latin prose style. In total, our results reflect the integration of computational and humanistic methods to investigate a diverse range of literary questions.

1552-P: Machine Learning Approach to Decision-Making for Initial Insulin Use in Japanese Patients with Type 2 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1552-P
Author(s):  
KAZUYA FUJIHARA ◽  
MAYUKO H. YAMADA ◽  
YASUHIRO MATSUBAYASHI ◽  
MASAHIKO YAMAMOTO ◽  
TOSHIHIRO IIZUKA ◽  
...  
Keyword(s):  
Machine Learning ◽  
Type 2 Diabetes ◽  
Decision Making ◽  
Japanese Patients ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Insulin Use

A Machine Learning Approach to Jet-Surface Interaction Noise Modeling

2020 ◽  
Author(s):  
Clifford A. Brown ◽  
Jonny Dowdall ◽  
Brian Whiteaker ◽  
Lauren McIntyre
Keyword(s):  
Machine Learning ◽  
Surface Interaction ◽  
Learning Approach ◽  
Noise Modeling ◽  
Machine Learning Approach
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