Evolutionary theory of technological change: State-of-the-art and new approaches

2005 ◽  
Vol 72 (9) ◽  
pp. 1137-1152 ◽  
Author(s):  
Tessaleno C. Devezas
2015 ◽  
pp. 249-271
Author(s):  
Göoran Berndes ◽  
Serina Ahlgren ◽  
Pål Böorjesson ◽  
Annette L. Cowie

Author(s):  
Flavian Vasile ◽  
Stephen Bonner

Recommendations are commonly used to modify user’s natural behavior, for example, increasing product sales or the time spent on a website. This results in a gap between the ultimate business ob- jective and the classical setup where recommenda- tions are optimized to be coherent with past user be- havior. To bridge this gap, we propose a new learn- ing setup for recommendation that optimizes for the Incremental Treatment Effect (ITE) of the policy. We show this is equivalent to learning to predict recommendation outcomes under a fully random recommendation policy and propose a new domain adaptation algorithm that learns from logged data containing outcomes from a biased recommenda- tion policy and predicts recommendation outcomes according to random exposure. We compare our method against state-of-the-art factorization meth- ods, in addition to new approaches of causal rec- ommendation and show significant improvements.


Planta Medica ◽  
2013 ◽  
Vol 79 (13) ◽  
Author(s):  
V Cakova ◽  
N Rimlinger ◽  
C Antheaume ◽  
P André ◽  
F Bonté ◽  
...  

2019 ◽  
Vol 77 ◽  
pp. 57-66 ◽  
Author(s):  
Daniela Rodrigues ◽  
Terezinha Souza ◽  
Danyel G.J. Jennen ◽  
Lieve Lemmens ◽  
Jos C.S. Kleinjans ◽  
...  

Viruses ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 1053
Author(s):  
Giorgio Gallinella

The family Parvoviridae includes an ample and most diverse collection of viruses. Exploring the biological diversity and the inherent complexity in these apparently simple viruses has been a continuous commitment for the scientific community since their first discovery more than fifty years ago. The Special Issue of ‘Viruses’ dedicated to the ‘New Insights into Parvovirus Research’ aimed at presenting a ‘state of the art’ in many aspects of research in the field, at collecting the newest contributions on unresolved issues, and at presenting new approaches exploiting systemic (-omic) methodologies.


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