Adaptation in Natural and Artificial Systems
Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learn...
Publications
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8,256 publications
Fully convolutional networks for semantic segmentation
Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, ex...
Self-efficacy: Toward a unifying theory of behavioral change.
The present article presents an integrative theoretical framework to explain and to predict psychological changes achieved by different modes of treatment. This theory states th...
AMPLIFICATION AND DIRECT SEQUENCING OF FUNGAL RIBOSOMAL RNA GENES FOR PHYLOGENETICS
Fusarium oxysporum f. sp.cubense (Foc), is the causal agent of the disease known as Fusarium wilt in musaceous crops.It is one of the major limiting factors in the world product...
The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields
Instead of examining why organizations are dissimilar, this study explores why organizations tend to be increasingly and inevitably homogenous in their forms and practices. Orga...
Absorptive Capacity: A New Perspective on Learning and Innovation
In this paper, we argue that the ability of a firm to recognize the value of new, external information, assimilate it, and apply it to commercial ends is critical to its innovat...
Prospect theory: An analysis of decision under risk
Expected utility theory has dominated the analysis of decision making under risk. It has been generally accepted as a normative model of rational choice (Keeney and Raiffa, 1976...
RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies
Abstract Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets...
Convex Optimization
Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved nu...
A New Approach to Linear Filtering and Prediction Problems
The classical filtering and prediction problem is re-examined using the Bode-Shannon representation of random processes and the “state-transition” method of analysis of dynamic ...