Results 21 to 30 of about 589,363 (249)

straight-wall-generalization

, 2023
The code shows a completed workflow to generalize building patches from a map at 1:5k to 1:10k and 1:15k with a new data representation model. More details are described in the article "Keeping walls straight: Data model and training set size matter for ...
Cheng Fu (8354925)
core   +1 more source

Reliance on Visual Input for Balance Skill Transfer in Older Adults: EEG Connectome Analysis Using Minimal Spanning Tree

Frontiers in Aging Neuroscience, 2021
Skill transfer from trained balance exercises is critical to reduce the rate of falls in older adults, who rely more on vision to control postural responses due to age-dependent sensory reweighting.
Yi-Ching Chen, Yi-Ching Chen, Yu-Chen Chou, Ing-Shiou Hwang, Ing-Shiou Hwang   +4 more
doaj   +1 more source

The Importance of Being Interpreted: Grounded Words and Children’s Relational Reasoning

Frontiers in Psychology, 2012
Although young children typically have trouble reasoning relationally, they are aided by the presence of relational words (e.g., Gentner & Rattermann, 1991).
Ji Yun Son, Linda B Smith, Robert L Goldstone, Michelle eLeslie   +3 more
doaj   +1 more source

Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient

Frontiers in Neurorobotics, 2020
There has been substantial growth in research on the robot automation, which aims to make robots capable of directly interacting with the world or human. Robot learning for automation from human demonstration is central to such situation.
Junjie Cao, Weiwei Liu, Yong Liu, Jian Yang   +3 more
doaj   +1 more source

INTEGRATED OPTIMIZATION MODEL OF MANUFACTURING AND TRANSPORTATION PROCESSES

Дискурс, 2018
This paper is devoted to constructing a linear mixed-integer model, finding a method and selecting an algorithm to determine the optimal solution to the production and transportation problem.
R. S. Rogulin, D. E. Pleshanov, P. V. Nechaev   +2 more
doaj   +1 more source

A Generalization of Lindstedt–Poincaré Perturbation Method to Strongly Mixed-Parity Nonlinear Oscillators

IEEE Access, 2020
In this paper, generalization for the Lindstedt-Poincaré perturbation method for nonlinear oscillators to a class of strongly mixed-parity oscillating system is established.
W. P. Sun, C. W. Lim
doaj   +1 more source

Deferring the learning for better generalization in radial basis neural networks [PDF]

, 2001
Proceeding of: International Conference Artificial Neural Networks — ICANN 2001. Vienna, Austria, August 21–25, 2001The level of generalization of neural networks is heavily dependent on the quality of the training data.
Galván, Inés M., Inés María Galván, Pedro Isasi, José María Valls, Valls, José M., Isasi, Pedro   +5 more
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Feedback-Based Validation Learning

Computation
This paper presents Feedback-Based Validation Learning (FBVL), a novel approach that transforms the role of validation datasets in deep learning. Unlike conventional methods that utilize validation datasets for performance evaluation post-training, FBVL ...
Chafik Boulealam, Hajar Filali, Jamal Riffi, Adnane Mohamed Mahraz, Hamid Tairi   +4 more
doaj   +1 more source

Do You See What I See? Deepening Teachers’ Understanding of Linear Equations through Student Interviews

Proceedings of the Annual Meeting of the Georgia Association of Mathematics Teacher Educators, 2014
Many teachers have trouble transitioning their students between natural recursive thinking about the data and algebraic notation for representing linear functions (Zazkis & Liljedahl, 2002).
Tamara Pearson, Kelli Nipper, Catherine Matos   +2 more
doaj   +1 more source

A selective learning method to improve the generalization of multilayer feedforward neural networks. [PDF]

, 2001
Multilayer feedforward neural networks with backpropagation algorithm have been used successfully in many applications. However, the level of generalization is heavily dependent on the quality of the training data.
Galván, Inés M., Aler, Ricardo, Valls, José M., Isasi, Pedro   +3 more
core   +1 more source