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ALT
2011
Springer
12 years 9 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
EMSOFT
2011
Springer
12 years 9 months ago
From boolean to quantitative synthesis
Motivated by improvements in constraint-solving technology and by the increase of routinely available computational power, partial-program synthesis is emerging as an effective a...
Pavol Cerný, Thomas A. Henzinger
SIGIR
2012
ACM
11 years 11 months ago
An uncertainty-aware query selection model for evaluation of IR systems
We propose a mathematical framework for query selection as a mechanism for reducing the cost of constructing information retrieval test collections. In particular, our mathematica...
Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayl...
RECOMB
2012
Springer
11 years 11 months ago
Recovering the Tree-Like Trend of Evolution Despite Extensive Lateral Genetic Transfer: A Probabilistic Analysis
Abstract. Lateral gene transfer (LGT) is a common mechanism of nonvertical evolution where genetic material is transferred between two more or less distantly related organisms. It ...
Sebastien Roch, Sagi Snir
ICCV
2009
IEEE
15 years 2 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...