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Publication search results
found 951 matches
- 2017
- Claude Sammut, Geoffrey I. Webb:
Encyclopedia of Machine Learning and Data Mining. Springer 2017, ISBN 978-1-4899-7685-7 [contents] - Jan Peters, J. Andrew Bagnell:
Policy Gradient Methods. Encyclopedia of Machine Learning and Data Mining 2017: 982-985 - Jan Peters, Russ Tedrake, Nick Roy, Jun Morimoto:
Robot Learning. Encyclopedia of Machine Learning and Data Mining 2017: 1106-1109 - Lei Zhang, Bing Liu:
Sentiment Analysis and Opinion Mining. Encyclopedia of Machine Learning and Data Mining 2017: 1152-1161 - Pieter Abbeel, Andrew Y. Ng:
Inverse Reinforcement Learning. Encyclopedia of Machine Learning and Data Mining 2017: 678-682 - Zahraa Said Abdallah, Lan Du, Geoffrey I. Webb:
Data Preparation. Encyclopedia of Machine Learning and Data Mining 2017: 318-327 - Charu C. Aggarwal:
Graph Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 570-579 - Biliana Alexandrova-Kabadjova, Alma Lilia García-Almanza, Serafín Martínez-Jaramillo:
Evolutionary Computation in Economics. Encyclopedia of Machine Learning and Data Mining 2017: 429-434 - Periklis Andritsos, Panayiotis Tsaparas:
Categorical Data Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 188-193 - Peter Auer:
Online Learning. Encyclopedia of Machine Learning and Data Mining 2017: 929-937 - Michael Bain:
Structured Induction. Encyclopedia of Machine Learning and Data Mining 2017: 1201-1205 - Arindam Banerjee, Hanhuai Shan:
Model-Based Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 848-852 - Andrew G. Barto:
Adaptive Real-Time Dynamic Programming. Encyclopedia of Machine Learning and Data Mining 2017: 20-23 - Rohan A. Baxter:
Minimum Message Length. Encyclopedia of Machine Learning and Data Mining 2017: 827-834 - Rohan A. Baxter:
Mixture Model. Encyclopedia of Machine Learning and Data Mining 2017: 841-844 - Bettina Berendt:
Text Mining for News and Blogs Analysis. Encyclopedia of Machine Learning and Data Mining 2017: 1247-1255 - Indrajit Bhattacharya, Lise Getoor:
Entity Resolution. Encyclopedia of Machine Learning and Data Mining 2017: 402-408 - Hendrik Blockeel:
Bias Specification Language. Encyclopedia of Machine Learning and Data Mining 2017: 125-128 - Hendrik Blockeel:
Hypothesis Language. Encyclopedia of Machine Learning and Data Mining 2017: 625-629 - Hendrik Blockeel:
Hypothesis Space. Encyclopedia of Machine Learning and Data Mining 2017: 629-632 - Hendrik Blockeel:
Observation Language. Encyclopedia of Machine Learning and Data Mining 2017: 917-920 - Antal van den Bosch:
Hidden Markov Models. Encyclopedia of Machine Learning and Data Mining 2017: 609-611 - Janez Brank, Dunja Mladenic, Marko Grobelnik:
Feature Construction in Text Mining. Encyclopedia of Machine Learning and Data Mining 2017: 498-503 - Jürgen Branke:
Artificial Societies. Encyclopedia of Machine Learning and Data Mining 2017: 66-70 - Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares:
Metalearning. Encyclopedia of Machine Learning and Data Mining 2017: 818-823 - Gavin Brown:
Ensemble Learning. Encyclopedia of Machine Learning and Data Mining 2017: 393-402 - Ivan Bruha:
Missing Attribute Values. Encyclopedia of Machine Learning and Data Mining 2017: 834-841 - Martin D. Buhmann:
Radial Basis Function Networks. Encyclopedia of Machine Learning and Data Mining 2017: 1049-1054 - Wray L. Buntine:
Bayesian Methods. Encyclopedia of Machine Learning and Data Mining 2017: 100-106 - Nicola Cancedda, Jean-Michel Renders:
Cross-Lingual Text Mining. Encyclopedia of Machine Learning and Data Mining 2017: 299-306
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