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» On the Execution of Deep Models
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BPM
2009
Springer
143views Business» more  BPM 2009»
13 years 7 months ago
MDPE Workbench - A Solution for Performance Related Decision Support
Abstract. Continuous optimization of business process execution including its adaptation to changes within the market environment or the company itself becomes increasingly importa...
Mathias Fritzsche, Jendrik Johannes, Sebastian Cec...
TSE
2010
110views more  TSE 2010»
13 years 5 months ago
Proofs from Tests
We present an algorithm Dash to check if a program P satisfies a safety property ϕ. The unique feature of the algorithm is that it uses only test generation operations, and nes ...
Nels E. Beckman, Aditya V. Nori, Sriram K. Rajaman...
ICML
2008
IEEE
14 years 7 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
JMLR
2010
192views more  JMLR 2010»
13 years 1 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
ICPR
2010
IEEE
13 years 10 months ago
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking
This work introduces a new pattern recognition model for segmenting and tracking lip contours in video sequences. We formulate the problem as a general nonrigid object tracking me...
Gustavo Carneiro, Jacinto Nascimento