Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Timothy M. Shea"'
Autor:
Andreea Danielescu, David C. Noelle, Mohammad K. Ebrahimpour, Christopher T. Kello, Timothy M. Shea
Publikováno v:
ICASSP
Machine learning approaches to auditory object recognition are traditionally based on engineered features such as those derived from the spectrum or cepstrum. More recently, end-to-end classification systems in image and auditory recognition systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9411dacae396289c611c30c258716baa
http://arxiv.org/abs/2005.12195
http://arxiv.org/abs/2005.12195
Publikováno v:
Cognitive Science. 43
Rich sensorimotor interaction facilitates language learning and is presumed to ground conceptual representations. Yet empirical support for early stages of embodied word learning is currently lacking. Finding evidence that sensorimotor interaction sh
Publikováno v:
Language, Cognition and Neuroscience. 32:330-341
There is a long-standing debate between localist and distributed representations in neural network research. Different connectionist models have employed one or the other type of representation, but all such models assume that representations are eit
Publikováno v:
ICDL-EPIROB
Reward-modulated Hebbian learning is a biologically plausible neural learning mechanism that has been previously applied to a variety of learning tasks. For example, recent work used reward-modulated spike timing dependent plasticity (STDP) to help e
Autor:
J. Morgan Varner, Timothy M. Shearman, Jeffrey M. Kane, Erin M. Banwell, Erik S. Jules, Michael C. Stambaugh
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Pinus species dominate fire-prone ecosystems throughout the northern hemisphere. Their litter drive fires that control plant community flammability and multiple ecological processes. To better understand the patterns and mechanisms of pine f
Externí odkaz:
https://doaj.org/article/3c02ee3618a14ba88d8c8b1587d8af41
Autor:
Hannah P. Cowley, Mandy Natter, Karla Gray-Roncal, Rebecca E. Rhodes, Erik C. Johnson, Nathan Drenkow, Timothy M. Shead, Frances S. Chance, Brock Wester, William Gray-Roncal
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Rigorous comparisons of human and machine learning algorithm performance on the same task help to support accurate claims about algorithm success rates and advances understanding of their performance relative to that of human performers. In
Externí odkaz:
https://doaj.org/article/d2faa0a8f65b40c6a51806d5207f70b7
Autor:
Timothy M. Shea, Selda Gunsel
Publikováno v:
Tribology Transactions. 46:296-302
A method to correlate average base oil structure with physical properties using an approach that combines NMR spectroscopy with an artificial neural network to develop a model is described. 13C NMR spectroscopy is used to characterize the average str
Autor:
Arthur J. Stipanovic, Timothy M. Shea
Publikováno v:
Tribology Letters. 12:13-22
The reactivity of MoDTC and ZnDTP in hydrocarbon solution was examined in detail under non-oxidizing conditions. These observations revealed increased reaction rates when polar solvents and/or short alkyl groups are encountered. Through the use of mo
Publikováno v:
Inorganic Chemistry. 35:7699-7703
Rate constants for the coupled two-electron/halide transfer self-exchange reactions of [Cp2MX]+ with Cp2M (M = Ru, Os; X = Cl, Br) have been measured in CD3CN at 298 K by 2D NMR spectroscopic techniques. Including data for the iodo complexes, the rat
Publikováno v:
Inorganic chemistry. 39(7)
The complexes (MemCp)(MenCp)Ru (m,n = 1,1; 0,4; 0,5; 1,5) have been synthesized along with the corresponding halometalloceniums [(MemCp)(MenCp)RuX]+ (X = Cl, Br, I). The two-electron/halide transfer self-exchange kinetics have been determined and com