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2019 ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
UNDERDETERMINED MIXTURES THROUGH BLOCK-WISE DETERMINED MODELING Zbynek Koldovsky, Jiri Malek, Jakub Jansky, Technical University of Liberec, Czech Republic VARIANCE ...................................  ...  YOUR NEURONS BLINDLY: NEURAL NETWORK ..................................................................... 2802 COMPRESSION THROUGH STRUCTURED CLASS-BLIND PRUNING Abdullah Salama, SAP SE & Hamburg University  ...  NETWORKS THROUGH INPUT .................................................... 2812 UNCERTAINTIES Jayaraman J.  ... 
doi:10.1109/icassp.2019.8682209 fatcat:fnau5zhouzf2feywojlbqwxuoe

Understanding Complex Systems [chapter]

Paul Cilliers
2012 Handbook of Systems and Complexity in Health  
Connectionism (implemented in neural networks) serves as an example of these techniques.  ...  Practical neural networks are structured more simply, usually in 'layers' of neurons. A simple neural net is shown in Figure 2 .1.  ...  The clever selection of default classes (background noise, false classes, system noise, elements common to all examples, etc.) allows you to fine-tune your network without fiddling with its insides.  ... 
doi:10.1007/978-1-4614-4998-0_3 fatcat:wacvsurq3bgxrj7xcttrian3be

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
We first briefly introduce essential background and state-of-the-art in deep learning techniques with potential applications to networking.  ...  The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure.  ...  For example, model compression, pruning, and quantization are commonly used for this purpose.  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 IEEE Communications Surveys and Tutorials  
We first briefly introduce essential background and state-of-theart in deep learning techniques with potential applications to networking.  ...  The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure.  ...  Fundamental Principles of Deep Learning The key aim of deep neural networks is to approximate complex functions through a composition of simple and predefined operations of units (or neurons).  ... 
doi:10.1109/comst.2019.2904897 fatcat:xmmrndjbsfdetpa5ef5e3v4xda

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Joel Lehman, Jeff Clune, Dusan Misevic
2020 Artificial Life  
The stories themselves are traded among researchers through oral tradition, but that mode of information transmission is inefficient and prone to error and outright loss.  ...  The researchers were surprised to find that high-performing neural networks evolved that contained nearly no connections or internal neurons: Even most of the sensory input was ignored.  ...  The networks seemed to learn associations without even receiving the necessary stimuli, as if a blind person could identify poisonous mushrooms by color.  ... 
doi:10.1162/artl_a_00319 pmid:32271631 fatcat:l6ouk2lrirc3lmgquolluvg3gm

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities [article]

Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney (+40 others)
2019 arXiv   pre-print
The stories themselves are traded among researchers through oral tradition, but that mode of information transmission is inefficient and prone to error and outright loss.  ...  The researchers were surprised to find that high-performing neural networks evolved that contained nearly no connections or internal neurons: even most of the sensory input was ignored.  ...  The networks seemed to learn associations without even receiving the necessary stimuli, as if a blind person could identify poisonous mushrooms by color.  ... 
arXiv:1803.03453v4 fatcat:bhpskgrcfjh4xa3v4nwmmpk7z4

Green men, plant brains and nervetrees : Ronald Johnson's object-oriented poetics of embodied mind

Sonnet Lynn L'Abbé
2013
When Johnson's Nature, not dualistically differentiated from human subjectivity, "looks at itself" through his poetry, the boundaries of epistemological and identity categories of subject and object become  ...  indistinct, a representational challenge that Johnson — who was not at all interested in disrupting, but only discovering his own model for, "the" Natural order — often negotiates through the use of plant  ...  neural connections being made across the neural networks that define conceptual domains.  ... 
doi:10.14288/1.0074128 fatcat:ahxjm3y37fgv3gkaikbaa2epg4

Population variation in genetic programming

Peyman Kouchakpour, Anthony Zaknich, Thomas Bräunl
2007 Information Sciences  
GP has been applied in various branches of engineering and sciences from neural networks [ [314] .  ...  [282] evolved the structure and parameters of adaptive digital signal processing (DSP) algorithms. Automatic generation of neural network architecture was carried out in [310] .  ... 
doi:10.1016/j.ins.2007.02.032 fatcat:ts4xcwqlx5hgpfoqsp3u5ec24y

Simulating humans: computer graphics animation and control

1994 ChoiceReviews  
The very ubiquitousness of other people in our lives poses a tantalizing challenge to the computational modeler: people are at once the most common object of interest and yet the most structurally complex  ...  Our network package allows general neural network-type constructions, though it is important to note that the system is not a neural network because: the 'neurons' nodes may be of arbitrary complexity.  ...  Objects, actions, and networks The KinematicObj class is broken into a JackFigure class which allows use of the Jack gures.  ... 
doi:10.5860/choice.31-2728 fatcat:r2oehymzrvb27mchwharo6fesm

Ambiguity [chapter]

The Architect's Brain  
and neural networks that code for them." 5 In the end, Neidich concludes, they have the powerful potential not only to "sculpt the brain" of each generation but also to "provide a formula through which  ...  In 1920 he first notes that "any actual consciousness is in every case not only blindly coupled to its corresponding psychophysical processes, but is akin to it in essential structural properties." 20  ... 
doi:10.1002/9781444317275.ch11 fatcat:h5wvepyt5vaghmdpmzojwzuoze

SPR 2018

2018 Pediatric Radiology  
This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education through the joint providership  ...  Toddler tibial fractures computer-aided diagnosis by convolutional neural network and transfer learning Zbigniew Starosolski, PhD 1 , zastaros@texaschildrenshospital.org; J.  ...  These vital and complex parenchymal structures contain many important white matter tracts, nuclei, and neurons responsible for both basic fundamental and higherlevel functions.  ... 
doi:10.1007/s00247-018-4130-z pmid:29707739 fatcat:46j635ave5hsldyl4phnftizsy

Architectural and Representational Requirements for Seeing Processes, Proto-affordances and Affordances. 1 From Kant to Gibson and Beyond

Aaron Sloman
2008 unpublished
Currently available computer models and neural theories are very far from explaining those functions, so progress in explaining how vision works is more in need of new proposals for explanatory mechanisms  ...  Others have proposed alternative ways of generating classes of 3-D structures.  ...  For example, in the 1960s various researchers experimented with grammars for classes of pictures. Later that was followed by work on classes of 3-D structures.  ... 
fatcat:tmalt66dl5h2xdhiswxo3pqx34

Surface Tension: Reflections on Personal and Natural History

Jonathan Katz
2011 unpublished
(This is happening continuously as photons strike the neurons in your eyes. Every second, electrical charges are passing through some neuron in your body.)  ...  My neurons pass along messages by pumping out positively charged sodium and potassium ions through transport proteins embedded in the fractal coastline of neural cell walls.  ... 
fatcat:emx2cqmunze4tdvqbolfdxhxt4

Volume 54, Number 4 (July 2001)

Editorial Board
2001 Journal of range management  
Definition of dietary structural types The dietary structural types represent different arrangements of the 5 forage classes.  ...  Microscopically, damage in the CNS results from vacuolar degeneration of both neurons and glia .  ...  Range plants that contain alkaloids, poison more livestock worldwide than any other class of toxic compounds.  ... 
doi:10.2458/azu_jrm_v54i4_board fatcat:cezi3qmurbdrrgqs3jouw4iifa

Rachel Mor-ton, and Hartmut Wick

Renlong Ai, Maria Bissiri, Hartmut Pfitzinger, Hans
2013 References Eric Atwell   unpublished
neurons to their input and work as a cache memory for neural network.  ...  From hidden neurons to word output neurons there are |H|×|O| connections, which are shown in matrix V and from hidden neurons to class output neurons there are |H|×|C| connections which are shown in matrix  ...  Abstract This work aims to study the narrative structure of Basque greeting verses from a text classification approach.  ... 
fatcat:jiw36rob5nhlhd3zeknq2ohate
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