Upper tail bounds for Stars
ŠILEIKIS, Matas, WARNKE, L. <em>Upper tail bounds for Stars</em>. Cornell University, 2019. arXiv.org e-Print archive, arXiv:1901.10637 [math.PR]. Dostupné z: https://arxiv.org/abs/1901.10637
Overdetermined Absolute Value Equations
ROHN, Jiří. <em>Overdetermined Absolute Value Equations</em>. Prague: ICS CAS, 2019. Technical Report, V-1265.
RBF-Keras: an RBF Layer for Keras Library
VIDNEROVÁ, Petra. <em>RBF-Keras: an RBF Layer for Keras Library</em> [software]. Ústav informatiky AV ČR, v. v. i., 2019. Dostupné z: https://github.com/PetraVidnerova/rbf_keras
Computing the spectral decomposition of interval matrices and a study on interval matrix power
HARTMAN, David, HLADÍK, M., ŘÍHA, D. <em>Computing the spectral decomposition of interval matrices and a study on interval matrix power</em>. Cornell University, 2019. arXiv.org e-Print archive, arXiv:1912.05275 [math.NA]. Dostupné z: https://arxiv.org/abs/1912.05275
Propagation complete encodings of smooth DNNF theories
KUČERA, P., SAVICKÝ, Petr. <em>Propagation complete encodings of smooth DNNF theories</em>. Cornell University, 2019. arXiv.org e-Print archive, arXiv:1909.06673 [cs.AI]. Dostupné z: https://arxiv.org/abs/1909.06673
Identification of mislabeled samples via phantom nodes in label propagation
VEJMELKA, Martin. <em>Identification of mislabeled samples via phantom nodes in label propagation</em>. Patentový spis US10198576. 5. 2. 2019. Dostupné z: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=1&f=G&l=50&co1=AND&d=PTXT&s1=10198576.PN.&OS=PN/10198576&RS=PN/10198576
On the Optimal Initial Conditions for an Inverse Problem of Model Parameter Estimation - a Complementarity Principle
MATONOHA, Ctirad, PAPÁČEK, Š. On the Optimal Initial Conditions for an Inverse Problem of Model Parameter Estimation - a Complementarity Principle. In: BLAHETA, R., STARÝ, J., SYSALOVÁ, D., eds. <em>SNA '19 - Seminar on numerical analysis</em>. Ostrava: Institute of Geonics of the CAS, 2019, S. 100-103. ISBN 978-80-86407-73-9.
Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. Proceedings, Part III
TETKO, I. V., KŮRKOVÁ, Věra, KARPOV, P., THEIS, F. <em>Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. Proceedings, Part III</em>. Cham: Springer, 2019. Lecture Notes in Computer Science, 11729. ISBN 978-3-030-30507-9. ISSN 0302-9743<br>Dostupné z: doi:10.1007/978-3-030-30508-6
Generalization of a Theorem on Eigenvalues of Symmetric Matrices
ROHN, Jiří. <em>Generalization of a Theorem on Eigenvalues of Symmetric Matrices</em>. Prague: ICS CAS, 2019. Technical Report, V-1271.