Search academic resources

Subjects / keywords: COONEY, THOMAS J; NATIONAL COUNCIL OF TEACHERS OF MATHEMATICS; 510.7 T253t2

Family and community in and out of the classroom introduce the reader to the field of family engagement in mathematics teaching and learning processes. Scientific evidence collected by the European Union throughout many ...

Subjects / keywords: Calculus; Study and teaching (Higher); Learning, Psychology of; Mathematics; Philosophy

Subjects / keywords: Mathematical ability in children; Learning disabilities; Mathematics; Study and teaching (Early childhood); Spain; Electronic books

Subjects / keywords: Educational games; Games in mathematics education; Thought and thinking; Problems, exercises, etc; Cognitive learning; Electronic books

Subjects / keywords: Learning disabilities; Mathematics; Remedial teaching; Electronic books

Subjects / keywords: Mathematics; Study and teaching (Elementary); Inclusive education; Learning disabled children; Education (Elementary); Electronic books

Subjects / keywords: Learning, Psychology of; Mathematics; Study and teaching; Science

Subjects / keywords: Mathematics; Study and teaching; Neurosciences; Learning; Physiological aspects; Electronic books

In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the convolutional neural network (CNN) to have remarkable localization ability despite being trained...

Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework for attribute prediction in the wild. It cascades two CNNs, LNet and ANet, which are fine-t...

The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known whether, in practice, such overestimations are common, whether they harm performance, and whet...

During the last decade, the data sizes have grown faster than the speed of processors. In this context, the capabilities of statistical machine learning methods is limited by the computing time rather than the sample siz...

Well-planned online learning experiences are meaningfully different from courses offered online in response to a crisis or disaster. Colleges and universities working to maintain instruction during the COVID-19 pandemic ...

Covers supervised learning (prediction) to unsupervised learning. This book contains topics including neural networks, support vector machines, classification trees and boosting

Point cloud is an important type of geometric data structure. Due to its irregular format, most researchers transform such data to regular 3D voxel grids or collections of images. This, however, renders data unnecessaril...

Subjects / keywords: Generalization; Statistical learning theory; Statistical learning; Learning theory; Function (biology); Statistical theory; Epistemology; Computer science; Artificial intelligence; Mathematics; Mathematics education; Phi...

We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution f...

We present a highly accurate single-image superresolution (SR) method. Our method uses a very deep convolutional network inspired by VGG-net used for ImageNet classification [19]. We find increasing our network depth sho...

While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics tod...

Accès à ce livre numérique réservé aux usagers du CDC. Contactez-nous pour obtenir votre code : info@cdc.qc.ca