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1
Machine learning from weak supervision : an empirical risk minimization approach /

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Main Authors: Sugiyama, Masashi, 1974-
Published: The MIT Press,
Publication Dates: [2022]
Call Number: TP181/S947-3
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2
Introduction to online convex optimization /

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Main Authors: Hazan, Elad, 1975-
Published: The MIT Press,
Publication Dates: [2022]
Call Number: O224/H428/2nd ed.
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3
Probabilistic machine learning : an introduction /

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Main Authors: Murphy, Kevin P., 1970-
Published: The MIT Press,
Publication Dates: [2022]
Call Number: TP181/M978-1
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4
Knowledge graphs : fundamentals, techniques, and applications /

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Main Authors: Kejriwal, Mayank
Group Author: Knoblock, Craig A., 1962-; Szekely, Pedro
Published: The MIT Press,
Publication Dates: [2021]
Call Number: TP391.41/K289
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5
Introduction to machine learning /

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Main Authors: Alpaydin, Ethem
Published: The MIT Press,
Publication Dates: [2020]
Call Number: TP181/A456-1/4th ed.
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6
Introduction to natural language processing /

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Main Authors: Eisenstein, Jacob
Published: The MIT Press,
Publication Dates: [2019]
Call Number: TP391/E364
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7
Foundations of machine learning /

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Main Authors: Mohri, Mehryar
Group Author: Rostamizadeh, Afshin; Talwalkar, Ameet
Published: The MIT Press,
Publication Dates: [2018]
Call Number: TP181/M699/2nd ed.
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8
Reinforcement learning : an introduction /

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Main Authors: Sutton, Richard S
Group Author: Barto, Andrew G
Published: The MIT Press,
Publication Dates: [2018]
Call Number: TP181/S967/2nd ed.
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9
Machine learning for data streams : with practical examples in MOA /

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Main Authors: Bifet, Albert
Group Author: Gavaldà, Ricard; Holmes, Geoffrey; Pfahringer, Bernhard
Published: The MIT Press,
Publication Dates: [2017]
Call Number: TN919.8/B591
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10
Elements of causal inference : foundations and learning algorithms /

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Main Authors: Peters, Jonas, 1984
Group Author: Janzing, Dominik; Schölkopf, Bernhard
Published: The MIT Press,
Publication Dates: [2017]
Call Number: TP181/P482
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11
Deep learning /

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Main Authors: Goodfellow, Ian
Group Author: Bengio, Yoshua; Courville, Aaron
Published: The MIT Press,
Publication Dates: [2016]
Call Number: TP181/G651
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12
Machine learning in non-stationary environments introduction to covariate shift adaptation

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Main Authors: Sugiyama Masashi 1974-
Group Author: Kawanabe Motoaki
Published: MIT Press,
Publication Dates: c2012.
Call Number: TP181/S947
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13
Boosting foundations and algorithms

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Main Authors: Schapire Robert E.
Group Author: Freund Yoav.
Published: MIT Press,
Publication Dates: c2012.
Call Number: TP181/S299
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14
Machine learning : a probabilistic perspective /

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Main Authors: Murphy, Kevin P., 1970
Published:
Call Number: TP181/M978
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15
The minimum description length principle

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Main Authors: Grünwald Peter D.
Published: MIT Press,
Publication Dates: c2007.
Call Number: O236/G891
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16
Semi-supervised learning

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Group Author: Chapelle Olivier.; Schölkopf Bernhard.; Zien Alexander.
Published: MIT,
Publication Dates: 2006.
Call Number: TP181/S471
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17
Gaussian processes for machine learning

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Main Authors: Rasmussen Carl Edward
Group Author: Williams Christopher K. I
Published: MIT Press,
Publication Dates: c2006.
Call Number: O211.6/R225
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18
Learning kernel classifiers theory and algorithms

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Main Authors: Herbrich Ralf
Published: MIT Press,
Publication Dates: c2002.
Call Number: TP181/H538
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19
Learning with kernels support vector machines, regularization, optimization, and beyond

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Main Authors: Schölkopf Bernhard
Group Author: Smola Alexander J
Published: MIT Press,
Publication Dates: c2002.
Call Number: TP181/S368
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20
Principles of data mining

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Main Authors: Hand D. J
Group Author: Mannila Heikki; Smyth Padhraic
Published: MIT Press,
Publication Dates: 2001.
Call Number: TP311.13/H236
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