The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing. Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods.
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- Shao C (2019). Quantum speedup of training radial basis function networks, Quantum Information & Computation, 19:7-8, (609-625), Online publication date: 1-Jun-2019.
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- Soleimani M, Mansoorizadeh M and Nassiri M (2018). Real-time identification of three Tor pluggable transports using machine learning techniques, The Journal of Supercomputing, 74:10, (4910-4927), Online publication date: 1-Oct-2018.
- Alpaydin E Classifying multimodal data The Handbook of Multimodal-Multisensor Interfaces, (49-69)
- Kim J, Jeon Y and Kim H (2018). The intelligent IoT common service platform architecture and service implementation, The Journal of Supercomputing, 74:9, (4242-4260), Online publication date: 1-Sep-2018.
- Wang H, Yi X, Huang P, Cheng B and Zhou K Efficient SSD Caching by Avoiding Unnecessary Writes using Machine Learning Proceedings of the 47th International Conference on Parallel Processing, (1-10)
- da Silva R and de Carvalho F On Combining Fuzzy C-Regression Models and Fuzzy C-Means with Automated Weighting of the Explanatory Variables 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), (1-8)
- Al Kafri A, Sudirman S, Hussain A, Al-Jumeily D, Fergus P, Natalia F, Meidia H, Afriliana N, Sophian A, Al-Jumaily M, Al-Rashdan W and Bashtawi M Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network 2018 IEEE Congress on Evolutionary Computation (CEC), (1-8)
- Rezaie H and Ghassemian M (2018). Comparison Analysis of Radio_Based and Sensor_Based Wearable Human Activity Recognition Systems, Wireless Personal Communications: An International Journal, 101:2, (775-797), Online publication date: 1-Jul-2018.
- Hollmén J, Asker L, Karlsson I, Papapetrou P, Boström H, Wikner B and Öhman I Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, (1-4)
- Aşık O, Görer B and Akın H End-to-End Deep Imitation Learning: Robot Soccer Case Study RoboCup 2018: Robot World Cup XXII, (137-149)
- Hild J, Voit M, Kühnle C and Beyerer J Predicting observer's task from eye movement patterns during motion image analysis Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, (1-5)
- Enişer H and Sen A Testing service oriented architectures using stateful service visualization via machine learning Proceedings of the 13th International Workshop on Automation of Software Test, (9-15)
- Rodrigues A, Caldas R, Rodrigues G, Vogel T and Pelliccione P A learning approach to enhance assurances for real-time self-adaptive systems Proceedings of the 13th International Conference on Software Engineering for Adaptive and Self-Managing Systems, (206-216)
- Pawiak P (2018). Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system, Expert Systems with Applications: An International Journal, 92:C, (334-349), Online publication date: 1-Feb-2018.
- Tayal H and Tolun S (2018). Dimension reduction in mean-variance portfolio optimization, Expert Systems with Applications: An International Journal, 92:C, (161-169), Online publication date: 1-Feb-2018.
- Zhao P, Wang Y, Chang N, Zhu Q and Lin X A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles Proceedings of the 23rd Asia and South Pacific Design Automation Conference, (196-202)
- Yin M Implicit Learning for Efficient Maintenance Support 2018 Annual Reliability and Maintainability Symposium (RAMS), (1-6)
- Zhao P, Wang Y, Chang N, Zhu Q and Lin X A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), (196-202)
- Lei C, Zhang H, Tan J, Zhang Y, Liu X and Díaz-Verdejo J (2018). Moving Target Defense Techniques, Security and Communication Networks, 2018, Online publication date: 1-Jan-2018.
- Ahmad A, Asif A, Rajpoot N, Arif M and Minhas F (2018). Correlation Filters for Detection of Cellular Nuclei in Histopathology Images, Journal of Medical Systems, 42:1, (1-8), Online publication date: 1-Jan-2018.
- Guan X, Liang J, Qian Y and Pang J (2017). A multi-view OVA model based on decision tree for multi-classification tasks, Knowledge-Based Systems, 138:C, (208-219), Online publication date: 15-Dec-2017.
- Chellaboina V Model-Free Optimal Control: A Critical Analysis Big Data Analytics, (215-222)
- Ahn S, Chertkov M and Shin J Gauging variational inference Proceedings of the 31st International Conference on Neural Information Processing Systems, (2885-2894)
- Luo G (2017). Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution, ACM SIGKDD Explorations Newsletter, 19:2, (13-24), Online publication date: 21-Nov-2017.
- Ahmed M, Rasool A, Afzal H and Siddiqi I (2017). Improving handwriting based gender classification using ensemble classifiers, Expert Systems with Applications: An International Journal, 85:C, (158-168), Online publication date: 1-Nov-2017.
- Wang D, Zhang Y and Zhao Y LightGBM Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics, (7-11)
- Song W, Chen F, Jacobsen H, Xia X, Ye C and Ma X (2017). Scientific Workflow Mining in Clouds, IEEE Transactions on Parallel and Distributed Systems, 28:10, (2979-2992), Online publication date: 1-Oct-2017.
- Ezghari S, Zahi A and Zenkouar K (2017). A new nearest neighbor classification method based on fuzzy set theory and aggregation operators, Expert Systems with Applications: An International Journal, 80:C, (58-74), Online publication date: 1-Sep-2017.
- Ziafat H and Babamir S (2017). A method for the optimum selection of datacenters in geographically distributed clouds, The Journal of Supercomputing, 73:9, (4042-4081), Online publication date: 1-Sep-2017.
- Zhou W, Xue W, Baral R, Wang Q, Zeng C, Li T, Xu J, Liu Z, Shwartz L and Ya. Grabarnik G STAR Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (2181-2190)
- Alaziz M, Jia Z, Howard R, Lin X and Zhang Y Motiontree Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, (127-136)
- Baldini G and Steri G (2017). A Survey of Techniques for the Identification of Mobile Phones Using the Physical Fingerprints of the Built-In Components, IEEE Communications Surveys & Tutorials, 19:3, (1761-1789), Online publication date: 1-Jul-2017.
- Araque O, Corcuera-Platas I, Snchez-Rada J and Iglesias C (2017). Enhancing deep learning sentiment analysis with ensemble techniques in social applications, Expert Systems with Applications: An International Journal, 77:C, (236-246), Online publication date: 1-Jul-2017.
- Oliva J and Garcia Rosa J (2017). How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier?, Applied Intelligence, 47:1, (178-196), Online publication date: 1-Jul-2017.
- Deniz A, Kiziloz H, Dokeroglu T and Cosar A (2017). Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques, Neurocomputing, 241:C, (128-146), Online publication date: 7-Jun-2017.
- Gutierrez-Rodríguez A, Ortiz-Bayliss J, Rosales-Pérez A, Amaya-Contreras I, Conant-Pablos S, Terashima-Marín H and Coello C Applying automatic heuristic-filtering to improve hyper-heuristic performance 2017 IEEE Congress on Evolutionary Computation (CEC), (2638-2644)
- Guitart J (2017). Toward sustainable data centers, Computing, 99:6, (597-615), Online publication date: 1-Jun-2017.
- Bidoki S, Jalili S and Tajoddin A (2017). PbMMD, Engineering Applications of Artificial Intelligence, 60:C, (57-70), Online publication date: 1-Apr-2017.
- Basavaraju P and Varde A (2017). Supervised Learning Techniques in Mobile Device Apps for Androids, ACM SIGKDD Explorations Newsletter, 18:2, (18-29), Online publication date: 22-Mar-2017.
- Markopoulos P Linear Discriminant Analysis with few training data 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (4626-4630)
- Chhetri S, Wan J and Faruque M Cross-domain security of cyber-physical systems 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), (200-205)
- Willis III J and Strunk V (2017). The Ethics of Machine-Based Learning, International Journal of Sociotechnology and Knowledge Development, 9:1, (53-66), Online publication date: 1-Jan-2017.
- Malazgirt G and Yurdakul A (2017). Prenaut, Journal of Systems Architecture: the EUROMICRO Journal, 72:C, (3-18), Online publication date: 1-Jan-2017.
- (2017). A sentiment classification model based on multiple classifiers, Applied Soft Computing, 50:C, (135-141), Online publication date: 1-Jan-2017.
- Bahja M and Lycett M Identifying patient experience from online resources via sentiment analysis and topic modelling Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, (94-99)
- Bhatti A, Majid M, Anwar S and Khan B (2016). Human emotion recognition and analysis in response to audio music using brain signals, Computers in Human Behavior, 65:C, (267-275), Online publication date: 1-Dec-2016.
- Oliva J, Lee H, Spolaôr N, Coy C and Wu F (2016). Prototype system for feature extraction, classification and study of medical images, Expert Systems with Applications: An International Journal, 63:C, (267-283), Online publication date: 30-Nov-2016.
- Imtiaz S, Ghauch H, Rahman M, Koudouridis G and Gross J Learning-Based Resource Allocation Scheme for TDD-Based 5G CRAN System Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, (176-185)
- Mammo B, Furia M, Bertacco V, Mahlke S and Khudia D BugMD: Automatic Mismatch Diagnosis for Bug triaging 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), (1-7)
- Savur C and Sahin F American Sign Language Recognition system by using surface EMG signal 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), (002872-002877)
- Louridas P and Ebert C (2016). Machine Learning, IEEE Software, 33:5, (110-115), Online publication date: 1-Sep-2016.
- G. J and Inbarani H. H (2016). Hybrid Tolerance Rough Set-Firefly based supervised feature selection for MRI brain tumor image classification, Applied Soft Computing, 46:C, (639-651), Online publication date: 1-Sep-2016.
- Warshaw J, Taft N and Woodruff A Intuitions, analytics, and killing ants Proceedings of the Twelfth USENIX Conference on Usable Privacy and Security, (271-285)
- Dzwinel W, Kusek A and Vasilyev O (2016). Supermodeling in Simulation of Melanoma Progression, Procedia Computer Science, 80:C, (999-1010), Online publication date: 1-Jun-2016.
- Koroglu Y, Sen A, Kutluay D, Bayraktar A, Tosun Y, Cinar M and Kaya H Defect prediction on a legacy industrial software Proceedings of the 4th International Workshop on Conducting Empirical Studies in Industry, (14-20)
- Yonggang Huang , Jun Zhang and Heyan Huang (2015). Camera Model Identification With Unknown Models, IEEE Transactions on Information Forensics and Security, 10:12, (2692-2704), Online publication date: 1-Dec-2015.
- Chatterjee M, Park S, Morency L and Scherer S Combining Two Perspectives on Classifying Multimodal Data for Recognizing Speaker Traits Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, (7-14)
- Perin G and Chmielewski Ł A Semi-Parametric Approach for Side-Channel Attacks on Protected RSA Implementations Revised Selected Papers of the 14th International Conference on Smart Card Research and Advanced Applications - Volume 9514, (34-53)
- Ibidunmoye O, Hernández-Rodriguez F and Elmroth E (2015). Performance Anomaly Detection and Bottleneck Identification, ACM Computing Surveys, 48:1, (1-35), Online publication date: 29-Sep-2015.
- Bozdogan C, Gokcen Y and Zincir I A Preliminary Investigation on the Identification of Peer to Peer Network Applications Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, (883-888)
- Cataltepe Z, Ekmekci U, Cataltepe T and Kelebek I Online feature selected semi-supervised decision trees for network intrusion detection NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, (1085-1088)
- Hang Li An approach to improve flexible manufacturing systems with machine learning algorithms IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, (54-59)
- Burriel-Valencia J, Puche-Panadero R, Martinez-Roman J, Sapena-Bano A and Pineda-Sanchez M Support vector machines optimization for steady state diagnosis methods of induction motors. A comparative study 2016 XXII International Conference on Electrical Machines (ICEM), (2366-2372)
- Ayotte B, Au-Yeung J, Banavar M, Barry D, Muniraju G, Rao S, Spanias A and Tepedelenlioglu C Introducing machine learning concepts using hands-on Android-based exercises 2019 IEEE Frontiers in Education Conference (FIE), (1-5)
- Douglas P and Anderson A Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, (363-378)
Index Terms
- Introduction to Machine Learning