Institution
University of Alabama
Education•Tuscaloosa, Alabama, United States•
About: University of Alabama is a education organization based out in Tuscaloosa, Alabama, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 27323 authors who have published 48609 publications receiving 1565337 citations. The organization is also known as: Alabama & Bama.
Topics: Population, Poison control, Galaxy, Health care, Large Hadron Collider
Papers published on a yearly basis
Papers
More filters
••
TL;DR: Self-efficacy theory asserts that personal mastery expectations are the primary determinants of behavioral change as discussed by the authors, and it is suggested that individual differences in past experiences and attri-...
Abstract: Self-efficacy theory asserts that personal mastery expectations are the primary determinants of behavioral change. Further, it is suggested that individual differences in past experiences and attri...
3,664 citations
••
TL;DR: A series of hydrophilic and hydrophobic 1-alkyl-3-methylimidazolium room temperature ionic liquids (RTILs) have been prepared and characterized to determine how water content, density, viscosity, surface tension, melting point, and thermal stability are affected by changes in alkyl chain length and anion.
3,469 citations
••
TL;DR: There is no a priori reason why machine learning must borrow from nature, but many machine learning systems now borrow heavily from current thinking in cognitive science, and rekindled interest in neural networks and connectionism is evidence of serious mechanistic and philosophical currents running through the field.
Abstract: There is no a priori reason why machine learning must borrow from nature. A field could exist, complete with well-defined algorithms, data structures, and theories of learning, without once referring to organisms, cognitive or genetic structures, and psychological or evolutionary theories. Yet at the end of the day, with the position papers written, the computers plugged in, and the programs debugged, a learning edifice devoid of natural metaphor would lack something. It would ignore the fact that all these creations have become possible only after three billion years of evolution on this planet. It would miss the point that the very ideas of adaptation and learning are concepts invented by the most recent representatives of the species Homo sapiens from the careful observation of themselves and life around them. It would miss the point that natural examples of learning and adaptation are treasure troves of robust procedures and structures. Fortunately, the field of machine learning does rely upon nature's bounty for both inspiration and mechanism. Many machine learning systems now borrow heavily from current thinking in cognitive science, and rekindled interest in neural networks and connectionism is evidence of serious mechanistic and philosophical currents running through the field. Another area where natural example has been tapped is in work on genetic algorithms (GAs) and genetics-based machine learning. Rooted in the early cybernetics movement (Holland, 1962), progress has been made in both theory (Holland, 1975; Holland, Holyoak, Nisbett, & Thagard, 1986) and application (Goldberg, 1989; Grefenstette, 1985, 1987) to the point where genetics-based systems are finding their way into everyday commercial use (Davis & Coombs, 1987; Fourman, 1985).
3,019 citations
••
TL;DR: Elements of Sampling Theory and Methods is unique in its presentation of materials, and the book’s price is reasonable in comparison to the other four books mentioned in this area.
Abstract: (2002). Introduction to Linear Regression Analysis. Technometrics: Vol. 44, No. 2, pp. 191-192.
2,818 citations
••
TL;DR: From an analysis of the effect of obesity on longevity, it is concluded that the steady rise in life expectancy during the past two centuries may soon come to an end.
Abstract: Forecasts of life expectancy are an important component of public policy that influence age-based entitlement programs such as Social Security and Medicare. Although the Social Security Administration recently raised its estimates of how long Americans are going to live in the 21st century, current trends in obesity in the United States suggest that these estimates may not be accurate. From our analysis of the effect of obesity on longevity, we conclude that the steady rise in life expectancy during the past two centuries may soon come to an end.
2,798 citations
Authors
Showing all 27508 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jasvinder A. Singh | 176 | 2382 | 223370 |
Hongfang Liu | 166 | 2356 | 156290 |
Ian J. Deary | 166 | 1795 | 114161 |
Yongsun Kim | 156 | 2588 | 145619 |
Dong-Chul Son | 138 | 1370 | 98686 |
Simon C. Watkins | 135 | 950 | 68358 |
Kenichi Hatakeyama | 134 | 1731 | 102438 |
Conor Henderson | 133 | 1387 | 88725 |
Peter R Hobson | 133 | 1590 | 94257 |
Tulika Bose | 132 | 1285 | 88895 |
Helen F Heath | 132 | 1185 | 89466 |
James Rohlf | 131 | 1215 | 89436 |
Panos A Razis | 130 | 1287 | 90704 |
David B. Allison | 129 | 836 | 69697 |
Eduardo Marbán | 129 | 579 | 49586 |