Results 51 to 60 of about 102,050 (305)

On a model of visual cortex: learning invariance and selectivity [PDF]

, 2008
In this paper we present a class of algorithms for similarity learning on spaces of images. The general framework that we introduce is motivated by some well-known hierarchical pre-processing architectures for object recognition which have been developed
Caponnetto, Andrea, Smale, Steve, Poggio, Tomaso   +2 more
core  

Game Theory Meets Computational Learning Theory (Dagstuhl Seminar 17251)

, 2017
his report documents the program and the outcomes of Dagstuhl Seminar 17251 "Game Theory Meets Computational Learning Theory". While there have been many Dagstuhl seminars on various aspects of Algorithmic Game Theory, this was the first one to focus ...
Dütting, Paul, Goldberg, Paul W., Mansour, Yishay   +2 more
core   +1 more source

Learning relationships from theory to design [PDF]

, 1999
This paper attempts to bridge the psychological and anthropological views of situated learning by focusing on the concept of a learning relationship, and by exploiting this concept in our framework for the design of learning technology.
C. J.H. Fowler, Fowler, C.J.H., C. J. H. Fowler, Mayes, J.T., J. T. Mayes, C.J.H. Fowler, J.T. Mayes   +6 more
core   +1 more source

Semantic influence of programming on the development of thinking of students: background, research and prospects

Открытое образование (Москва), 2020
Today, one of the highly discussed topics is the impact of global digitalization on the evolution of humankind. Although the widespread introduction of digital technology is considered to be effective and profitable, it requires competitive professionals,
M. U. Mukasheva, Y. V. Payevskaya
doaj   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Delay-Doppler-Based Joint mmWave Beamforming and UAV Selection in Multi-UAV-Assisted Vehicular Communications

Aerospace
Vehicular communication is crucial for the future of intelligent transportation systems. However, providing continuous high-data-rate connectivity for vehicles in hard-to-reach areas, such as highways, rural regions, and disaster zones, is challenging ...
Ehab Mahmoud Mohamed, Mohammad Ahmed Alnakhli, Sherief Hashima   +2 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Applied Computational Intelligence for finance and economics [PDF]

, 2007
This article introduces some relevant research works on computational intelligence applied to finance and economics. The objective is to offer an appropriate context and a starting point for those who are new to computational intelligence in finance and ...
Sáez, Yago, Quintana, David, Mochón, Asunción, Sáez Achaerandio, Yago, Quintana Montero, David, Isasi, Pedro, Isasi Viñuela, Pedro   +6 more
core   +1 more source

Recent Advances of Deep Learning in Bioinformatics and Computational Biology

Frontiers in Genetics, 2019
Extracting inherent valuable knowledge from omics big data remains as a daunting problem in bioinformatics and computational biology. Deep learning, as an emerging branch from machine learning, has exhibited unprecedented performance in quite a few ...
Binhua Tang, Binhua Tang, Zixiang Pan, Kang Yin, Asif Khateeb   +4 more
doaj   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source