Zobrazeno 1 - 10
of 318
pro vyhledávání: '"J., Smola"'
Autor:
Gökhan BakIr, Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola, Ben Taskar, S.V.N Vishwanathan
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of m
Publikováno v:
Veterinární Medicína, Vol 62, Iss 10, Pp 553-558 (2017)
Porcine reproductive and respiratory syndrome (PRRS) virus represents a major threat to the swine industry worldwide. This study describes the transmission of a European strain of PRRS-1 to a pig farm leading to the spread of the virus to different a
Externí odkaz:
https://doaj.org/article/5fef724d75ce41ef9949c98abb2e4b4a
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Autor:
Greggory M. Rice, Kevin M. Weeks, Gillian Houlihan, Matthew J. Smola, Catherine A. Giannetti, Philipp Holliger, Thomas W. Christy, Alain Laederach, Jing Wang, Nikolay V. Dokholyan
Publikováno v:
Biochemistry
Higher-order structure governs function for many RNAs. However, discerning this structure for large RNA molecules in solution is an unresolved challenge. Here, we present SHAPE-JuMP (selective 2'-hydroxyl acylation analyzed by primer extension and ju
Autor:
Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alex J. Smola
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:408-417
Autoregressive models using Transformers have emerged as the dominant approach for music generation with the goal of synthesizing minute-long compositions that exhibit large-scale musical structure. These models are commonly trained by minimizing the
Akademický článek
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The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research.The
Autor:
Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R Manmatha, Mu Li, Alexander J Smola
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
Starting from the seminal work of Fully Convolutional Networks (FCN), there has been significant progress on semantic segmentation. However, deep learning models often require large amounts of pixelwise annotations to train accurate and robust models
Publikováno v:
Veterinární Medicína, Vol 52, Iss 11, Pp 502-506 (2007)
Blood sera from 71 dogs were examined for specific IgG antibodies against Lawsonia intracellularis using the indirect immunofluorescent antibody test. The dogs were divided into two groups according to the presence or absence of gastrointestinal dise
Externí odkaz:
https://doaj.org/article/f36df574f5454a7f97917190f4bde38e
Influence of lecithin emulsifier on the utilisation of nutrients and growth of piglets after weaning
Publikováno v:
Czech Journal of Animal Science, Vol 50, Iss 10, Pp 459-465 (2005)
The influence of supplementation of a lecithin emulsifier (0.1%) to the feed mixture for piglets after weaning was studied. 16 piglets in the control group (C - without lecithin) and 16 piglets in an experimental (E) group were monitored in three rep
Externí odkaz:
https://doaj.org/article/f2c648517b4749b8a096437214ead9fe