Bayesian artificial Intelligence : Chapman & hallCrc computer science and data analysis

kod QR

Bayesian artificial Intelligence : Chapman & hallCrc computer science and data analysis

Zapisane w:

Opis bibliograficzny
1. autor:	Korb, Kevin B
Format:	Sách
Język:	Undetermined
Wydane:	CRC Press 2011
Hasła przedmiotowe:	Lý thuyết quyết định thống kê Bayesian; Mạng thần kinh (Tin học);
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Thư viện lưu trữ:	Trung tâm Thư viện - Trường Đại học Công nghiệp TP. Hồ Chí Minh

Podobne zapisy

Approximate Bayesian computation in evolution and ecology /
od: Beaumont, Mark A.

Bayesian networks :
Wydane: (2008)

The bayesian choice : From decision-theoretic foundations to computational implementation
od: Robert, Christian P
Wydane: (2007)

Bayesian methods : an analysis for statisticians and interdisciplinary researchers /
od: Leonard, Thomas, 1948-
Wydane: (1999)

Bayesian methods : an analysis for statisticians and interdisciplinary researchers /
od: Leonard, Thomas, 1948-
Wydane: (1999)

Bayesian networks :
Wydane: (2008)

Applied bayesian modelling
od: Congdon, Peter
Wydane: (2003)

Economics for Hospitality Management (Chapman & Hall Series in Tourism & Hospitality Management
od: Cullen, Peter
Wydane: (1997)

Bayesian methods for image super-resolution /

Bayesian Methods for the Physical Sciences: Learning from Examples in Astronomy and Physics
od: Andreon, Stefano, i wsp.
Wydane: (2016)

Bayesian method for groundwater quality monitoring network analysis /
od: Ammar, Khalil.

Approximate Bayesian computation using indirect inference /
od: Drovandi, Christopher C.

Bayesian statistics :
od: Lee, Peter M.
Wydane: (2004)

Bayesian gene set analysis for identifying significant biological pathways /

Information security risk modeling using bayesian index /
od: Chan, Chien-Lung.

Integrating location models with Bayesian analysis to inform decision making /

Thống kê Bayes và ứng dụng trong dự báo lợi tức cổ phiếu :
od: Thái, Phúc Hưng
Wydane: (2011)

Phương pháp Bayes trong thử nghiệm lâm sàng ngẫu nhiên có đối chứng :
od: Trần, Nguyến Khái Hưng
Wydane: (2011)

Phương pháp xích Markov - Monte Carlo trong thống kê Bayes và ứng dụng :
od: Lâm, Bửu Tân
Wydane: (2011)

Thống kê Bayes và ứng dụng trong mô hình thống kê phân cấp :
od: Nguyễn, Thị Tuyết Mai
Wydane: (2011)

Suy luận Bayes và biến phân Bayes :
od: Bùi, Hải Vương
Wydane: (2015)

Ứng dụng phương pháp Bayes để đánh giá độ tin cậy trong hệ mờ :
od: Lê, Thanh Hà
Wydane: (2017)

Sequential Bayesian prediction in the presence of changepoints and faults /

Design of time-varying stochastic process with dynamic Bayesian networks /
od: Cho, Hyun-Cheol.

Contemporary bayesian and frequentist statistical research methods for natural resource scientists
od: Stauffer, Howard B.
Wydane: (2008)

In search of an environmental Kuznets curve in sulphur dioxide concentrations : A Bayesian model averaging approach /
od: Begun, Jeffrey.

Bayesian and Frequentist Regression Methods
od: Wakefield, Jon
Wydane: (2013)

Estimation of hominoid ancestral population sizes under bayesian coalescent models incorporating mutation rate variation and sequencing errors /
od: Burgess, Ralph.

Bayesian dose finding in oncology for drug combinations by copula regression /
od: Yin, Guosheng.

Bayesian inference of errors in ancient DNA caused by postmortem degradation /
od: Mateiu, Ligia M.

Artificial Intelligence and Computational Intelligence
Wydane: (2020)

Bayesian bounds for parameter estimation and nonlinear filtering/tracking
Wydane: (2007)

Object-oriented bayesian networks for participatory water management : Two case studies in Spain /

Bayesian methods to detect dye-labelled DNA oligonucleotides in multiplexed Raman spectra /

Intention to use reusable shopping bags in an emerging economy: A Bayesian Mindsponge framework analysis
od: Tran, Thien Vu, i wsp.
Wydane: (2025)

High dimensional structured additive regression models : Bayesian regularization, smoothing and predictive performance /
od: Kneib, Thomas.

Markov chain Monte Carlo : stochastic simulation for Bayesian inference.
od: Gamerman, Dani.
Wydane: (2006)

Artificial Intelligence and Soft Computing
od: Rutkowski, Leszek, i wsp.
Wydane: (2020)

Artificial Intelligence and Soft Computing
od: Rutkowski, Leszek, i wsp.
Wydane: (2020)

Artificial Intelligence and Computer Vision
od: Lu, Huimin, i wsp.
Wydane: (2020)