Skip header Section
Skip Bibliometrics Section
Readings in Machine LearningMarch 1991
- Authors:
- Jude W. Shavlik,
- Thomas E. Deitterich,
- Editor:
- Thomas Dietterich
Skip Abstract Section
Abstract
From the Publisher:
The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business.
Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.
Cited By
- Valavanis K (2018). The Entropy Based Approach to Modeling and Evaluating Autonomy and Intelligence of Robotic Systems, Journal of Intelligent and Robotic Systems, 91:1, (7-22), Online publication date: 1-Jul-2018.
- Malek S, Gunalan R, Kedija S, Lau C, Mosleh M, Milow P, Lee S and Saw A (2018). Random forest and Self Organizing Maps application for analysis of pediatric fracture healing time of the lower limb, Neurocomputing, 272:C, (55-62), Online publication date: 10-Jan-2018.
- Espinilla M, Medina J, Calzada A, Liu J, Martnez L and Nugent C (2017). Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology, Microprocessors & Microsystems, 52:C, (381-390), Online publication date: 1-Jul-2017.
- Alanazi H, Abdullah A and Qureshi K (2017). A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care, Journal of Medical Systems, 41:4, (1-10), Online publication date: 1-Apr-2017.
- Łuczak M (2016). Hierarchical clustering of time series data with parametric derivative dynamic time warping, Expert Systems with Applications: An International Journal, 62:C, (116-130), Online publication date: 15-Nov-2016.
- Huang G, Chen L and Feng Z Health Assistant Based on Cloud Platform Proceedings of the 14th International Conference on Inclusive Smart Cities and Digital Health - Volume 9677, (477-488)
- Tsumoto S and Takabayashi K Data mining in meningoencephalitis Proceedings of the 19th international conference on Foundations of intelligent systems, (133-139)
- Pavel J and Jiří K Information system classification Proceedings of the 8th conference on Systems theory and scientific computation, (94-98)
- Tae K, Jeong A and You K Cognitive model of schema as complex system Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II, (406-414)
- Silver D and Poirier R Requirements for Machine Lifelong Learning Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks, (313-319)
- Tae K and Lee S On cognitive role of negative schema Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II, (231-238)
- Selfridge O (2006). Learning and Education, IEEE Intelligent Systems, 21:3, (16-23), Online publication date: 1-May-2006.
- Jiang Q and Abidi S From clusters to rules Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics, (219-228)
- Moshkov M Time complexity of decision trees Transactions on Rough Sets III, (244-459)
- Tsumoto S (2019). Extraction of Structure of Medical Diagnosis from Clinical Data, Fundamenta Informaticae, 59:2-3, (271-285), Online publication date: 1-Apr-2004.
- Tsumoto S and Hirano S Pattern Discovery based on Rule Induction and Taxonomy Generation Proceedings of the Third IEEE International Conference on Data Mining
- Tsumoto S (2019). Extraction of structure of medical diagnosis from clinical data, Fundamenta Informaticae, 59:2-3, (271-285), Online publication date: 1-Jul-2003.
- Tae K Schematic aspect for autonomous agent Proceedings of the 2003 international conference on Computational science and its applications: PartII, (614-623)
Bradley P, Gehrke J, Ramakrishnan R and Srikant R (2002). Scaling mining algorithms to large databases, Communications of the ACM, 45:8, (38-43), Online publication date: 1-Aug-2002.- Domingos P Machine learning Handbook of data mining and knowledge discovery, (660-670)
- Bhatt G and Zaveri J (2002). The enabling role of decision support systems in organizational learning, Decision Support Systems, 32:3, (297-309), Online publication date: 1-Jan-2002.
- Ganti V, Gehrke J and Ramakrishnan R A framework for measuring changes in data characteristics Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, (126-137)
- Bradley P, Mangasarian O and Rosen J (2019). Parsimonious Least Norm Approximation, Computational Optimization and Applications, 11:1, (5-21), Online publication date: 1-Oct-1998.
- Ng K, Liu H and Kwah H (1998). A data mining application, ACM SIGMOD Record, 27:2, (522-525), Online publication date: 1-Jun-1998.
- Ng K, Liu H and Kwah H A data mining application Proceedings of the 1998 ACM SIGMOD international conference on Management of data, (522-525)
- Chater N and Pickering M (1997). Two Projects for Understanding the Mind, Minds and Machines, 7:4, (553-569), Online publication date: 1-Nov-1997.
- Thornton C (1997). Brave Mobots Use Representation, Minds and Machines, 7:4, (475-494), Online publication date: 1-Nov-1997.
- Mangasarian O (1997). Mathematical Programming in Data Mining, Data Mining and Knowledge Discovery, 1:2, (183-201), Online publication date: 21-Jan-1997.
- Zarkesh A, Adibi J, Shahabi C, Sadri R and Shah V Analysis and design of server informative WWW-sites Proceedings of the sixth international conference on Information and knowledge management, (254-261)
- Arning A, Agrawal R and Raghavan P A linear method for deviation detection in large databases Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, (164-169)
- Zhong N and Ohsuga S Toward a multi-strategy and cooperative discovery system Proceedings of the First International Conference on Knowledge Discovery and Data Mining, (337-342)
- Pannu A Using genetic algorithms to inductively reason with cases in the legal domain Proceedings of the 5th international conference on Artificial intelligence and law, (175-184)
- Sen S, Sekaran M and Hale J Learning to coordinate without sharing information Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (426-431)
- Aliferis C and Cooper G An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets Proceedings of the Tenth international conference on Uncertainty in artificial intelligence, (8-14)
- Hoebel L (1991). Book review: Readings in Planning Edited by James Allen, James Hendler, and Austin Tate (Morgan Kaufmann, San Mateo, CA, 1990), ACM SIGART Bulletin, 2:4, (185-186), Online publication date: 1-Jul-1991.
Recommendations
Machine Learning: The State of the Art
The two fundamental problems in machine learning (ML) are statistical analysis and algorithm design. The former tells us the principles of the mathematical models that we establish from the observation data. The latter defines the conditions on which ...