Search for '(su:{Machine-learning.})'

Introduction to computational learning theory

By Kearns, Michael J.. London MIT Press 1994 . xii, 207 p. 24 cm.. 0262111934

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C4.5

By Quinlan, J. Ross. California Morgan Kaufmann Publishers 1993 . x, 302 p. : 25 cm.. 1558602380

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Readings in machine learning

By Shavlik, Jude W.. California Morgan Kaufmann Publishers 1990 . x, 853 p. 28 cm.. 1558601430

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Machine learning

By Michalski, Ryszard S. . Los Altos M. Kaufmann 1983 . 572 p. 24 cm.. 0934613095

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Machine learning

By Michalski, Ryszard S.. Los Altos Morgan Kaufmann 1986 . x, 738 p. , Vol.2, contributors, Saul Amarel...[et al.] 24 cm.. 0934613001 (v. 2)

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Machine learning

By Kodratoff, Yves. Los Altos Morgan Kaufmann 1990 . x, 825 p. , v. 3, contributors, Saul Amarel ... [et al.] 24 cm.. 1558601198

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C4.5

By Quinlan, J. Ross. California Morgan Kaufmann Publishers 1993 . x, 302 p. 25 cm.. 1558602380

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Machine learning

By Michalski, Ryszard S.. California Morgn Kaufmann Publishers 1994 . xi, 782 p. , Vol. IV 23 cm. . 0934613095

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Readings in machine learning

By Shavlik, Jude W.. San Mateo Morgan Kaufmann Publishers 1990 . x, 853 p. 28 cm.. 1558601430

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Machine learning, ECML-97

Berlin | New York Springer 1997 . xi, 360 p. 24 cm.. 3540628584

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Machine learning.

Boston/U.S.A. : Kluwer Academic Publishers, 1986 . v. : 24 cm..

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Technologies for smart nation

Singapore IEEE 2016 9781509025961

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Machine learning

By Mitchell, Tom M.. New York McGraw-Hill 1997 . xvii, 414 p. 0071154671

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Automated directive fall detection system using single 3D accelerometer and learning classifier

By Farhad Hossain, Shaikh. Dhaka Institute of Information and Communication Technology, BUET 2017 . xvi, 118p.

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Deep learning

By Goodfellow, Ian. Cambridge MIT Press 2016 . xxii, 775 p. 9780262035613

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MWMOTE-Boost: majority weighted minority over-sampling technique integrated with boosting for imbalanced data set learning

By Barua, Sukarna. Dhaka Department of Computer Science and Engineering, BUET

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Handling over-fitting and class-imbalance jointly in Pittsburgh learning classifier systems

By Shubhra Kanti Karmaker Santu. Dhaka Department of Computer Science and Engineering, BUET

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Ensemble approach with insightful features for spoiler detection

By Sabah Binte Noor. Dhaka Department of Computer Science and Engineering, BUET 2018 . xiii, 78p.

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Computational methods

Singapore ICCM 2019 . 31 p.

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First course in machine learning

By Rogers, Simon. London Taylor & Francis 2017 . xxix, 397 p. 9781498738484 | 9780367574642

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Ensemble machine learning approach for network intrusion detection

By Raihan-Al-Masud, Md.. Dhaka Institute of Information and Communication Technology, BUET 2019 . xii, 134 p.

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Data science and machine learning

By Kroese, Drik P.. Boca Raton Taylor & Francis 2020 . xxi, 513 p. 9781138492530

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Smart agents for the industry 4.0

By Hoffmann, Max. Wiesbaden Springer Vieweg 2019 . xxxiv, 318 p. 9783658277413

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Machine learning using R

By Ramasubramanian, Karthik. New Delhi Apress 2019 . xxiv, 700 p. 9781484242148

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Integrated physiological model of virtual diabetic patient for machine learning research

By Jahirul Islam, Md. . Dhaka Department of Computer Science and Engineering, BUET 2021 . xi, 93 p.

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Novel word-to-VEC graph and character interaction models for literary analysis

By Nafis IrtizaTripto. Dhaka Department of Computer Science and Engineering, BUET 2021 . xi, 73 p.

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Fundamentals of Pattern Recognition and Machine Learning

By Braga-Neto, Ulisses. Cham Springer 2020 . xviii, 357 p. 9783030276553

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Deep ensemble approach of anger detection from audio-textual conversation

By Mahjabin Nahar. Dhaka Department of Computer Science and Engineering, BUET 2022 . xi, 68 p.

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Analysis of supervised machine learning models for breast cancer predictions

By Arman Hussain , Md.. Dhaka Institute of Information and Communication Technology, BUET 2022 . xi, 47 p.

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Development of a banking risk-engine to predict credit, market and operational risks using machine learning

By Noor Alam, Md.. Dhaak Institute of Information and Communication Technology, BUET 2022 . xi, 31 p.

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Crispr CAS-9 off-target prediction with state-of-the-art deep learning techniques

By Toufikuzzaman, Md. . Dhaka Department of Computer Science and Engineering, BUET 2023 . x, 98 p.

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Age-wise analysis of electrocardiogram signals for early prediction of heart diseases

By Faria Tabassum. Dhaka Department of Computer Science and Engineering, BUET 2023 . x, 62 p.

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Hybrid deep learning framework for lung disease diagnosis based on chest radiography images

By Fatema Binte Alam. Dhaka Institute of Information and Communication Technology, BUET 2023 . xii, 76 p.

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Ensembled machine learning based diabetes prediction: a cross-country perspective

By Sadia Afrin. Dhaka Institute of Information and Communication Technology, BUET 2023 . xii, 101 p.

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Development of a deep learning framework for the diagnosis of lung infectious diseases

By Das, Sanchita Rani . Dhaka Institute of Information and Communication Technology, BUET 2023 . xii, 63 p.

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Analysis and interpretability of machine learning models to classify thyroid disease

By Sumya Akter . Dhaka Institute of Information and Communication Technology, BUET 2023 . 75 p.

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