Machine learning for text / Charu C. Aggarwal
MELB
2018
Machine learning for text / Charu C. Aggarwal
MELB
2018
Machine learning for text / Charu C. Aggarwal
MELB
2018
MACHINE LEARNING FOR TEXT
W'BOOL
2022
006.31 Alt/Alt 1999 : Algorithmic learning theory : 10th International Conference, ALT'99, Tokyo, Japan, December 6-8, 1999 : proceedings / Osamu Watanabe, Takashi Yokomori (eds.)
Algorithmic learning theory : 10th International Conference, ALT'99, Tokyo, Japan, December 6-8, 1999 : proceedings / Osamu Watanabe, Takashi Yokomori (eds.)
W'PONDS
1999
006.31 Alt/Alt 2004 : Algorithmic learning theory : 15th international conference, ALT 2004, Padova, Italy, October 2-5, 2004 : proceedings / Shai Ben-David, John Case, Akira Maruoka (eds.)
Algorithmic learning theory : 15th international conference, ALT 2004, Padova, Italy, October 2-5, 2004 : proceedings / Shai Ben-David, John Case, Akira Maruoka (eds.)
W'PONDS
2004
006.31 Bak/Psd : Predicting structured data / edited by Gökhan Bakır ... [and others]
Predicting structured data / edited by Gökhan Bakır ... [and others]
MELB
2007
006.31 Bar/Bra : Bayesian reasoning and machine learning / David Barber
Bayesian reasoning and machine learning / David Barber
MELB
2011
006.31 Ber/Mlu : Machine learning under a modern optimization lens / Dimitris Bertsimas, Jack Dunn
Machine learning under a modern optimization lens / Dimitris Bertsimas, Jack Dunn
MELB
2019
006.31 Bou/Aol : Applications of learning & planning methods / editor, Nikolaos G. Bourbakis
Applications of learning & planning methods / editor, Nikolaos G. Bourbakis
W'PONDS
1991
006.31 Bra/Mat : Metalearning : applications to data mining / Pavel Brazdil ... [and others]
Metalearning : applications to data mining / Pavel Brazdil ... [and others]
MELB
2009
006.31 Bul/Aol : Applications of learning classifier systems / Larry Bull (Ed.)
Applications of learning classifier systems / Larry Bull (Ed.)
W'PONDS
2004
006.31 Bur/Hpm : The hundred-page machine learning book / Andriy Burkov
The hundred-page machine learning book / Andriy Burkov
MELB
2019
006.31 Cam/Mlf : Machine learning for audio, image and video analysis : theory and applications / Francesco Camastra, Alessandro Vinciarelli
Machine learning for audio, image and video analysis : theory and applications / Francesco Camastra, Alessandro Vinciarelli
W'PONDS
Deep learning with Python / François Chollet
MELB, W'PONDS
2021
Deep learning with Python / François Chollet
MELB, W'PONDS
2021
006.31 Col/Itg : An introduction to genetic algorithms for scientists and engineers / David A. Coley
An introduction to genetic algorithms for scientists and engineers / David A. Coley
W'PONDS
1999
006.31 Con/Rle : Robot learning / edited by Jonathan H. Connell, Sridhar Mahadevan
Robot learning / edited by Jonathan H. Connell, Sridhar Mahadevan
W'PONDS
1993
006.31 Dai/Esl : Evolutionary structure learning algorithm for Bayesian network and penalized mutual information metric / Honghua Dai, Gang Li and Yiqing Tu
Evolutionary structure learning algorithm for Bayesian network and penalized mutual information metric / Honghua Dai, Gang Li and Yiqing Tu
WATERFT ADPML
2002
006.31 Dai/Eso : An empirical study of encoding schemes and search strategies in discovering causal networks / Honghua Dai, Gang Li and Yiqung Tu
An empirical study of encoding schemes and search strategies in discovering causal networks / Honghua Dai, Gang Li and Yiqung Tu
WATERFT ADPML
2002
006.31 Dai/Iaf : An improved approach for the discovery of causal models via MML / Honghua Dai, Gang Li
An improved approach for the discovery of causal models via MML / Honghua Dai, Gang Li
WATERFT ADPML
2002
006.31 Dai/Lof : Learning of fuzzy classification rules by the inexact field learning approach / Honghua Dai, Victor Ciesielski
Learning of fuzzy classification rules by the inexact field learning approach / Honghua Dai, Victor Ciesielski
WATERFT ADPML
2004
006.31 Del/Lna : Learning, networks and statistics / edited by G. Della Riccia, H.J. Lenz, and R. Kruse
Learning, networks and statistics / edited by G. Della Riccia, H.J. Lenz, and R. Kruse
W'PONDS
1997
006.31 Ecl/Mla Part1 2018 : Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim (Eds.)
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / Michele Berlingerio, Francesco Bonchi, Thomas Gärtner,
MELB
2019
006.31 Ecl/Mla Part2 2018 : Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim (Eds.)
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / Michele Berlingerio, Francesco Bonchi, Thomas Gärtner,
MELB
Machine learning, ECML-93 : European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993 : proceedings / Pavel B. Brazdil, ed
W'PONDS
1993
Machine learning : ECML-95 : 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995 : proceedings / Nada Lavrač, Stefan Wrobel, eds
W'PONDS
1995
006.31 Eur/Mle 1994 : Machine learning : ECML-94 : European Conference on Machine Learning, Catania, Italy, April 6-8, 1994 : proceedings / Francesco Bergadano, Luc De Raedt, eds
Machine learning : ECML-94 : European Conference on Machine Learning, Catania, Italy, April 6-8, 1994 : proceedings / Francesco Bergadano, Luc De Raedt, eds
W'PONDS
1994
006.31 Fis/Cfk : Concept formation : knowledge and experience in unsupervised learning / edited by Douglas H. Fisher, Jr., Michael J. Pazzani, and Pat Langley
Concept formation : knowledge and experience in unsupervised learning / edited by Douglas H. Fisher, Jr., Michael J. Pazzani, and Pat Langley
W'PONDS
1991
006.31 Fis/Mlp 1997 : Machine learning : proceedings of the Fourteenth International Conference (ICML '97) : Nashville, Tennessee, July 8-12, 1997 / edited by Douglas H. Fisher, Jr
Machine learning : proceedings of the Fourteenth International Conference (ICML '97) : Nashville, Tennessee, July 8-12, 1997 / edited by Douglas H. Fisher, Jr
W'PONDS
1997
006.31 Fis/Mlp 1998 : Machine learning : proceedings of the fifteenth International Conference (ICML '98) : Madison, Wisconsin, July 24-27, 1998 / edited by Jude Shavlik
Machine learning : proceedings of the fifteenth International Conference (ICML '98) : Madison, Wisconsin, July 24-27, 1998 / edited by Jude Shavlik
W'PONDS
1998
006.31 Ger/Hom 2019 : Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron
MELB
2019
006.31 Gfk/Jah 2007 : Data analysis, machine learning and applications : proceedings of the 31st Annual Conference of the Gesellschaft f ̈ür Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007 / Christine Preisach ... [and others], editors
Data analysis, machine learning and applications : proceedings of the 31st Annual Conference of the Gesellschaft f ̈ür Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007 / Christ
MELB
2008
006.31 Gol/Gai : Genetic algorithms in search, optimization, and machine learning / David E. Goldberg
Genetic algorithms in search, optimization, and machine learning / David E. Goldberg
W'PONDS
1989
006.31 Goo/Dle : Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville
MELB
2017
006.31 Gre/Gaf : Genetic algorithms for machine learning / edited by John J. Grefenstette
Genetic algorithms for machine learning / edited by John J. Grefenstette
W'PONDS
The elements of statistical learning : data mining, inference and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman
MELB
2009
The elements of statistical learning : data mining, inference and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman
MELB
2009
The elements of statistical learning : data mining, inference and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman
MELB
2009
006.31 Hol/Iim : Innovations in machine learning : theory and applications / Dawn E. Holmes, Lakhmi C. Jain (eds.)
Innovations in machine learning : theory and applications / Dawn E. Holmes, Lakhmi C. Jain (eds.)
W'PONDS
2006
006.31 Hua/Kba : Kernel based algorithms for mining huge data sets : supervised, semi-supervised, and unsupervised learning / Te-Ming Huang, Vojislav Kecman, Ivica Kopriva
Kernel based algorithms for mining huge data sets : supervised, semi-supervised, and unsupervised learning / Te-Ming Huang, Vojislav Kecman, Ivica Kopriva
MELB
2006
006.31 Hua/Mlm : Machine learning : modeling data locally and globally / Kai-Zhu Huang ... [et at.]
Machine learning : modeling data locally and globally / Kai-Zhu Huang ... [et at.]
MELB
2008
006.31 Int/Dal 2003 : Declarative agent languages and technologies : first international workshop, DALT 2003, Melbourne, Australia, July 15, 2003, revised selected and invited papers / João Leite ... [and others], eds
Declarative agent languages and technologies : first international workshop, DALT 2003, Melbourne, Australia, July 15, 2003, revised selected and invited papers / João Leite ... [and others], eds
W'PONDS