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Deep Exploration Technologies Deep Exploration Technologies Deep Exploration Technologies

by Mohammad Javad, Khoshnavaz Andrej, Bόna Milovan Urosevic, Department Centre (detcrc, Department Centre (detcrc
"... Pre-stack time migration in common source domain without velocity model ..."
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Pre-stack time migration in common source domain without velocity model

A fast learning algorithm for deep belief nets

by Geoffrey E. Hinton, Simon Osindero - Neural Computation , 2006
"... We show how to use “complementary priors ” to eliminate the explaining away effects that make inference difficult in densely-connected belief nets that have many hidden layers. Using complementary priors, we derive a fast, greedy algorithm that can learn deep, directed belief networks one layer at a ..."
Abstract - Cited by 970 (49 self) - Add to MetaCart
We show how to use “complementary priors ” to eliminate the explaining away effects that make inference difficult in densely-connected belief nets that have many hidden layers. Using complementary priors, we derive a fast, greedy algorithm that can learn deep, directed belief networks one layer

Greedy layer-wise training of deep networks

by Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle , 2006
"... Complexity theory of circuits strongly suggests that deep architectures can be much more efficient (sometimes exponentially) than shallow architectures, in terms of computational elements required to represent some functions. Deep multi-layer neural networks have many levels of non-linearities allow ..."
Abstract - Cited by 394 (48 self) - Add to MetaCart
introduced a greedy layer-wise unsupervised learning algorithm for Deep Belief Networks (DBN), a generative model with many layers of hidden causal variables. In the context of the above optimization problem, we study this al-gorithm empirically and explore variants to better understand its success

Simple Heuristics That Make Us Smart

by Gerd Gigerenzer, Peter M. Todd , 2008
"... To survive in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury, decision-makers must use bounded rationality. In this precis of Simple heuristics that make us smart, we explore fast and frugal heuristics—simple rules for making decisions with re ..."
Abstract - Cited by 456 (15 self) - Add to MetaCart
To survive in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury, decision-makers must use bounded rationality. In this precis of Simple heuristics that make us smart, we explore fast and frugal heuristics—simple rules for making decisions

A Deep Exploration of the Transcriptome and “Excretory/Secretory ” Proteome of Adult

by unknown authors
"... Parasitic liver flukes of the family Fasciolidae are respon-sible for major socioeconomic losses worldwide. However, at present, knowledge of the fundamental molecular biol-ogy of these organisms is scant. Here, we characterize, for the first time, the transcriptome and secreted proteome of the adul ..."
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involved in carbohydrate metabolism. The integration of transcriptomic and proteomic datasets generated herein sets the scene for future studies aimed at exploring the potential role(s) that molecules might play at the host– parasite interface and for establishing novel strategies for the treatment

Targeted Geoscience Initiative 4: Increasing Deep Exploration EffectivenessRessources naturelles Canada Natural Resources

by unknown authors
"... The P2 reverse fault (Figure 1) is a major structure within the Athabasca Basin, Saskatchewan, and is spatially associated with the McArthur River deposit, the world’s largest high-grade uranium mine. The McArthur River deposit is classified as an unconformity-type deposit as the mineralization is l ..."
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The P2 reverse fault (Figure 1) is a major structure within the Athabasca Basin, Saskatchewan, and is spatially associated with the McArthur River deposit, the world’s largest high-grade uranium mine. The McArthur River deposit is classified as an unconformity-type deposit as the mineralization is located at the unconformity (~500 m depth) between the Athabasca sandstone and basement rocks. The P2 is constrained to graphite-bearing paragneiss of the basement and is refracted within

Gated-V dd : A Circuit Technique to Reduce Leakage in Deep-Submicron Cache Memories

by Michael Powell, Se-Hyun Yang, Babak Falsafi, Kaushik Roy, T. N. Vijaykumar , 2000
"... Deep-submicron CMOS designs have resulted in large leakage energy dissipation in microprocessors. While SRAM cells in onchip cache memories always contribute to this leakage, there is a large variability in active cell usage both within and across applications. This paper explores an integrated arch ..."
Abstract - Cited by 227 (11 self) - Add to MetaCart
Deep-submicron CMOS designs have resulted in large leakage energy dissipation in microprocessors. While SRAM cells in onchip cache memories always contribute to this leakage, there is a large variability in active cell usage both within and across applications. This paper explores an integrated

2012b, 3d Reflection Seismic Imaging for Open-Pit Mine Planning and Deep Exploration in the Kevitsa Ni-Cu-Pge Deposit

by Alireza Malehmir, Christopher Juhlin, Chris Wijns, Milovan Urosevic, Petri Valasti, Emilia Koivisto - Geophysics
"... A 3D reflection seismic survey was conducted over an area of about 9 km2 at the Kevitsa Ni-Cu-PGE (platinum group elements) orebody, northern Finland, where open-pit mining started in mid-2012. The principal objective of the survey was to image major fault and fracture zones at depth that may have a ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
time shifts or phase changes along horizontal to gently dipping reflections. Some of these faults cross the planned open-pit mine at depths of about 300–500 m, and are therefore critical for geotechnical planning. In terms of in-pit and near-mine exploration, the mag-matic layering internal

Natural Resources Canada Targeted Geoscience Initiative 4: Increasing Deep Exploration Effectiveness Geological Survey of Canada with Provincial and Territorial Collaboration

by unknown authors
"... The Wheeler River Property, host of Denison Mine’s Phoenix uranium deposit, is situated near the southeastern rim of the Athabasca Basin in Northern Saskatchewan (Figure 1). The mineralization drilled to date is estimated to contain from 45 to 90 million pounds U O making Phoenix, even at the lower ..."
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The Wheeler River Property, host of Denison Mine’s Phoenix uranium deposit, is situated near the southeastern rim of the Athabasca Basin in Northern Saskatchewan (Figure 1). The mineralization drilled to date is estimated to contain from 45 to 90 million pounds U O making Phoenix, even at the lower figure, the sixth largest known individual deposit in the 3 8

Exploring strategies for training deep neural networks

by Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin, Léon Bottou - Journal of Machine Learning Research
"... Département d’informatique et de recherche opérationnelle ..."
Abstract - Cited by 90 (12 self) - Add to MetaCart
Département d’informatique et de recherche opérationnelle
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