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JMLR
2011
142views more  JMLR 2011»
15 years 1 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...
JOCN
2011
69views more  JOCN 2011»
15 years 1 months ago
Neuroaesthetics: A Coming of Age Story
■ Neuroaesthetics is gaining momentum. At this early juncture, it is worth taking stock of where the field is and what lies ahead. Here, I review writings that fall under the ru...
Anjan Chatterjee
286
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PAMI
2011
15 years 1 months ago
Dynamic Programming and Graph Algorithms in Computer Vision
Optimization is a powerful paradigm for expressing and solving problems in a wide range of areas, and has been successfully applied to many vision problems. Discrete optimization ...
Pedro F. Felzenszwalb, Ramin Zabih
SADM
2011
15 years 1 months ago
Random survival forests for high-dimensional data
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
Hemant Ishwaran, Udaya B. Kogalur, Xi Chen, Andy J...
SYNTHESE
2011
98views more  SYNTHESE 2011»
15 years 1 months ago
How scientific models can explain
: ic models invariably involve some degree of idealization, abstraction, or fictionalization of their target system. Nonetheless, I argue that there are circumstances under which s...
Alisa Bokulich