Pattern-oriented modeling (POM) is an approach to bottom-up complex systems analysis that was developed to model complex ecological and agent-based systems. A goal of POM is to make ecological modeling more rigorous and comprehensive. A traditional ecosystem model attempts to approximate the real system as closely as possible. POM proponents posit that an ecosystem is so information-rich that an ecosystem model will inevitably either leave out relevant information or become over-parameterized and lose predictive power. Through a focus on only the relevant patterns in the real system, POM offers a meaningful alternative to the traditional approach. An attempt to mimic the scientific method, POM requires the researcher to begin with a pattern found in the real system, posit hypotheses to explain the pattern, and then develop predictions that can be tested. A model used to determine the original pattern may not be used to test the researcher's predictions. Through this focus on the pattern, the model can be constructed to include only information relevant to the question at hand. POM is also characterized by an effort to identify the appropriate temporal and spatial scale at which to study a pattern, and to avoid the assumption that a single process might explain a pattern at multiple temporal or spatial scales. It does, however, offer the opportunity to look explicitly at how processes at multiple scales might be driving a particular pattern. A look at the trade-offs between model complexity and payoff can be considered in the framework of the Medawar zone. The model is considered too simple if it addresses a single problem (e.g., the explanation behind a single pattern), whereas it will be considered too complex if it incorporates all the available biological data. The Medawar zone, where the payoff in what is learned is greatest, is at an intermediate level of model complexity. (Wikipedia).
Understanding Design patterns | Why Design Patterns | Design patterns Tutorial for Beginners
Watch Sample Class recording: http://www.edureka.co/design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=und-design-patterns Design patterns are solutions to software design problems you find again and again in real-world application development. Patterns are about reusabl
From playlist Design Patterns Videos
MapReduce Design Patterns Tutorial - 1 | MapReduce Design Patterns Tutorial for Beginners - 1
Watch Sample Class recording: http://www.edureka.co/mapreduce-design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=mapreduce-ds-tut1 MapReduce Design Pattern is a template for solving a common and general data manipulation problem with MapReduce. A pattern is not specific t
From playlist MapReduce Design Patterns Tutorial Videos
(ML 13.4) Directed graphical models - formalism (part 2)
Definition of a directed graphical model, or more precisely, what it means for a distribution to respect a directed acyclic graph.
From playlist Machine Learning
Pattern Matching - Correctness
Learn how to use pattern matching to assist you in your determination of correctness. This video contains two examples, one with feedback and one without. https://teacher.desmos.com/activitybuilder/custom/6066725595e2513dc3958333
From playlist Pattern Matching with Computation Layer
(ML 13.3) Directed graphical models - formalism (part 1)
Definition of a directed graphical model, or more precisely, what it means for a distribution to respect a directed acyclic graph.
From playlist Machine Learning
Patterns for Organization of Data | MapReduce Design Patterns Tutorial
Watch Sample Class recording: http://www.edureka.co/mapreduce-design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=mapreduce-data-org-1 MapReduce Design Pattern is a template for solving a common and general data manipulation problem with MapReduce. A pattern is not specifi
From playlist MapReduce Design Patterns Tutorial Videos
Pattern Matching - Being Flexible
As your patterns become more complex you'll need to build patterns that can match expressions with different but similar forms. Activity Link: https://teacher.desmos.com/activitybuilder/custom/60626999811e664d596ece18
From playlist Pattern Matching with Computation Layer
Bruno Olshausen: "From Natural Scene Statistics to Models of Neural Coding & Representation, Pt. 2"
Graduate Summer School 2012: Deep Learning, Feature Learning "From Natural Scene Statistics to Models of Neural Coding & Representation, Pt. 2" Bruno Olshausen, UC Berkeley Institute for Pure and Applied Mathematics, UCLA July 25, 2012 For more information: https://www.ipam.ucla.edu/pro
From playlist GSS2012: Deep Learning, Feature Learning
Why Design Patterns In MapReduce | Available Design Patterns in MR | Why Design Patterns MapReduce
Watch Sample Class recording: http://www.edureka.co/mapreduce-design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=why-designpattern MapReduce Design Pattern is a template for solving a common and general data manipulation problem with MapReduce. A pattern is not specific t
From playlist MapReduce Design Patterns Tutorial Videos
Hugo Duminil-Copin - 3/4 The Self-Avoiding Walk Model
The course will focus on rigorous results for the self-avoiding walk model on lattices, with a special emphasis on low-dimensional ones. The model is defined by choosing uniformly at random among random walk paths starting from the origin and without self-intersections. Despite its simple
From playlist Hugo Duminil-Copin - The Self-Avoiding Walk Model
Lecture 1.2: Gabriel Kreiman - Computational Roles of Neural Feedback
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: Gabriel Kreiman Neural computation and methods to study visual processing in the brain. Models of single neurons and neural circuits, hierarchical co
From playlist MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015
José A. Carillo -Noise-driven bifurcations in a neural field system modelling networks of grid cells
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From playlist Workshop "Workshop on Mathematical Modeling and Statistical Analysis in Neuroscience" - January 31st - February 4th, 2022
Anter El-Azab: Mesoscale crystal plasticity based on continuum dislocation dynamics
Anter El-Azab: Mesoscale crystal plasticity based on continuum dislocation dynamics: mathematical formalism and numerical solution The lecture was held within the framework of the Hausdorff Trimester Program Multiscale Problems: Workshop on Non-local Material Models and Concurrent Multisc
From playlist HIM Lectures: Trimester Program "Multiscale Problems"
Liquid Crystals: Order upon Disorder - Ian Jauslin with Thomas Spencer
https://www.ias.edu/events/ideas-2017-18 More videos on http://video.ias.edu
From playlist Ideas 2017-18
RubyConf 2019 - No Return: Beyond Transactions in Code and Life by Avdi Grimm
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Design Patterns:Tailor-made Solutions for Software Development | Edureka
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From playlist Webinars by Edureka!
Colin Ophus - Multi-dimensional scanning transmission electron microscopy to solve 3D nanostructures
Recorded 24 October 2022. Colin Ophus of Lawrence Berkeley Laboratory presents "Using multi-dimensional scanning transmission electron microscopy to solve 3D nanostructures using atomic electron tomography" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Workshop. Abstract
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
Introduction to Design Patterns | Design Patterns For Beginners | Edureka
Watch Sample Class recording: http://www.edureka.co/design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=intro-design-pattern Design patterns are solutions to software design problems you find again and again in real-world application development. Patterns are about reusab
From playlist Design Patterns Videos