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Conference version
Conference version

... More broadly: Is there any partial Boolean function P such that Q(P)=polylog(N) while R(P)>>N? Non-black-box applications of Forrelation? ...
SUBS 6370: Computational Methods and Design Experiments
SUBS 6370: Computational Methods and Design Experiments

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Practical Difficulty and Techniques in Matrix-Product-State

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1952: Istituzione del "Comitato Nazionale per le

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J89-1010 - Association for Computational Linguistics

... Books listed below that are marked with a dagger will be reviewed in a future issue. Readers who wish to review books for the journal should write, outlining their qualifications, to the book review editor, Graeme Hirst, Department of Computer Science, University of Toronto, Toronto, Canada M5S IA4. ...
Assignment 2
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... Q2: What is the relationship between the concepts of mutual information and weight sharing in a neural network? Explain with an example. Lets start by defining the terms: Mutual Information: The mutual information of X and Y, written I(X,Y) is the amount of information gained about X when Y is lear ...
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... • Typically, we wish to find a feasible solution S such that f(S) is either minimized or maximized • Thus, when designing an algorithm to solve an optimization problem, we must prove the algorithm produces a best possible solution. ...
Week 8 - School of Engineering and Information Technology
Week 8 - School of Engineering and Information Technology

... Neural networks generally have inputs that come from sensory cells in the outside world. Others send their output to the outside world. Processor units deep in the network that are not connected to inputs or outputs are called hidden units ...
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The Brain Doesn`t Work That Way: From Microgenesis to Cognition

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V. Interpreting Ecological Models Ecological systems are composed

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CERCS - Creating System Solutions for Future Technologies

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An Introduction to: Coherent and Squeezed states
An Introduction to: Coherent and Squeezed states

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Natural computing

Natural computing, also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute. The main fields of research that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, artificial life, DNA computing, and quantum computing, among others.Computational paradigms studied by natural computing are abstracted from natural phenomena as diverse as self-replication, the functioning of the brain, Darwinian evolution, group behavior, the immune system, the defining properties of life forms, cell membranes, and morphogenesis. Besides traditional electronic hardware, these computational paradigms can be implemented on alternative physical media such as biomolecules (DNA, RNA), or trapped-ion quantum computing devices.Dually, one can view processes occurring in nature as information processing. Such processes include self-assembly, developmental processes, gene regulation networks, protein-protein interaction networks, biological transport (active transport, passive transport) networks, and gene assembly in unicellular organisms. Efforts tounderstand biological systems also include engineering of semi-synthetic organisms, and understanding the universe itself from the point of view of information processing. Indeed, the idea was even advanced that information is more fundamental than matter or energy. The Zuse-Fredkin thesis, dating back to the 1960s, states that the entire universe is a huge cellular automaton which continuously updates its rules.Recently it has been suggested that the whole universe is a quantum computer that computes its own behaviour.
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