Results 91 to 100 of about 16,800,197 (383)

Learning to Continually Learn

open access: yes, 2020
Continual lifelong learning requires an agent or model to learn many sequentially ordered tasks, building on previous knowledge without catastrophically forgetting it. Much work has gone towards preventing the default tendency of machine learning models to catastrophically forget, yet virtually all such work involves manually-designed solutions to the ...
Joel Lehman   +6 more
openaire   +3 more sources

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

open access: yesFEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik   +3 more
wiley   +1 more source

20. What’s all the Clicking About? A Study of Classroom Response System Use at the University of Toronto

open access: yesCollected Essays on Learning and Teaching, 2011
Classroom response systems (clickers) are used in many courses at the University of Toronto (U of T), primarily to introduce interactive pedagogy and to engage students in lecture courses.
Jason Harlow   +9 more
doaj   +1 more source

Logistic Regression as Soft Perceptron Learning [PDF]

open access: yesarXiv, 2017
We comment on the fact that gradient ascent for logistic regression has a connection with the perceptron learning algorithm. Logistic learning is the "soft" variant of perceptron learning.
arxiv  

Red Rock Desert Learning Center & Wild Horse and Burro Facility: Newsletter

open access: yes, 2006
The mission of the Red Rock Desert Learning Center is to instill stewardship and respect by increasing knowledge and understanding of the Mojave Desert ecosystemsand cultures through a unique experiential discovery ...
Red Rock Desert Learning Center
core  

Meta-Learning in Neural Networks: A Survey [PDF]

open access: yesarXiv, 2020
The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches to AI where tasks are solved from scratch using a fixed learning algorithm, meta-learning aims to improve the learning algorithm itself, given the experience of multiple learning episodes. This paradigm provides an
arxiv  

Red Rock Desert Learning Center & Wild Horse and Burro Facility: Frequently Asked Questions

open access: yes, 2006
The mission of the Red Rock Desert Learning Center is to instill stewardship and respect by increasing knowledge and understanding of the Mojave Desert ecosystems and cultures through a unique experiential discovery ...
Red Rock Desert Learning Center
core  

Learning Geometric Concepts with Nasty Noise

open access: yes, 2017
We study the efficient learnability of geometric concept classes - specifically, low-degree polynomial threshold functions (PTFs) and intersections of halfspaces - when a fraction of the data is adversarially corrupted.
Daniely A.   +3 more
core   +1 more source

What Interactive Web Features are Most Used [PDF]

open access: yes, 2021
The use of interactive features in websites has become common place on the internet. People use these tools to help navigate and understand the content related to that website.
Tyler, Travis
core   +1 more source

Learning to Learn Neural Networks [PDF]

open access: yesarXiv, 2016
Meta-learning consists in learning learning algorithms. We use a Long Short Term Memory (LSTM) based network to learn to compute on-line updates of the parameters of another neural network. These parameters are stored in the cell state of the LSTM. Our framework allows to compare learned algorithms to hand-made algorithms within the traditional train ...
arxiv  

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