Keqin Li - researchr profile publications

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Publications tagged machine learning

Machine Learning Verfahren zur Klassifikation von kurzen TextstückenBenedikt Waldvogel. informatiktage 2009: 47-50

Tutorial summary: Machine learning in IR: recent successes and new opportunitiesPaul Bennett, Misha Bilenko, Kevyn Collins-Thompson. icml 2009: 177 [doi]

Applying machine learning to software fault-proneness predictionIker Gondra. jss, 81(2):186-195, 2008. [doi]

Reply to Comments on The Extreme Learning Machine Guang-Bin Huang. tnn, 19(8):1495-1496, 2008. [doi]

A Dual-Mode Learning Mechanism Combining Knowledge-Education and Machine-LearningYichang Chen, Anpin Chen. isnn 2008: 87-96 [doi]

On the Portability of Trained Machine Learning Classifiers for Early Application IdentificationGiacomo Verticale. securware 2008: 306-310 [doi]

Learning Parameterized State Machine Model for Integration TestingMuzammil Shahbaz, Keqin Li, Roland Groz. compsac 2007: 755-760 [doi]

Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvalis, Oregon, USA, June 20-24, 2007Zoubin Ghahramani, editor, Volume 227 of ACM International Conference Proceeding Series, ACM, 2007.

One-class Machine Learning for Brain Activation DetectionXiaomu Song, George Iordanescu, Alice M. Wyrwicz. cvpr 2007: [doi]

Machine Learning Techniques in Detecting of Pulmonary EmbolismsMark H. Myers, Igor Beliaev, King-Ip Lin. ijcnn 2007: 385-390 [doi]

Integration Testing of Components Guided by Incremental State Machine LearningKeqin Li, Roland Groz, Muzammil Shahbaz. taicpart 2006: 59-70 [doi]

Global Convergence of Decomposition Learning Methods for Support Vector MachinesNorikazu Takahashi, Tetsuo Nishi. tnn, 17(6):1362-1369, 2006. [doi]

Analog neural network for support vector machine learningRenzo Perfetti, Elisa Ricci. tnn, 17(4):1085-1091, 2006. [doi]

Visualization of Support Vector Machines with Unsupervised LearningLutz Hamel. cibcb 2006: 1-8 [doi]

Integrating Data from the Web by Machine-Learning Tree-Pattern QueriesBenjamin Habegger, Denis Debarbieux. otm 2006: 941-948 [doi]

Machine Learning in Biology: A Profile of David HausslerSara Reese Hedberg. expert, 21(1):8-10, 2006. [doi]

Robust Recursive Complex Extreme Learning Machine Algorithm for Finite Numerical PrecisionJun-Seok Lim, Koeng-Mo Sung, Joonil Song. isnn 2006: 637-643 [doi]

Machine learning models of problem space navigation: the influence of genderRon Stevens, Amy Soller. comsis, 2(2):83-98, 2005. [doi]

An Application of Machine Learning for Internet UsersMachová Kristína. ifip5-3 2005: 459-466 [doi]

Using Machine Learning for Estimating the Defect Content After an InspectionFrank Padberg, Thomas Ragg, Ralf Schoknecht. TSE, 30(1):17-28, 2004. [doi]

Machine Learning for Portfolio Selection Using Structure at the Instance LevelCormac Gebruers, Alessio Guerri. cp 2004: 794 [doi]

Machine learning in automated text categorizationFabrizio Sebastiani. ACM Comput. Surv., 34(1):1-47, 2002. [doi]

Genetic Algorithms in Machine LearningJonathan L. Shapiro. ac 2001: 146-168 [doi]

A General Method for Scaling Up Machine Learning Algorithms and its Application to ClusteringPedro Domingos, Geoff Hulten. icml 2001: 106-113

The Application of Machine Learning Tools to the Validation of an Air Traffic Control Domain TheoryMargaret Mary West, T. L. McCluskey. ijait, 10(4):613-637, 2001.

Functional Decomposition and Its Applications in Machine Learning and Neural NetworksHenry Selvaraj, Piotr Sapiecha, Tadeusz Luba. ijcia, 1(3):259-271, 2001.

Some studies in machine learning using the game of checkersArthur L. Samuel. ibmrd, 44(1):206-227, 2000. [doi]

Trainable, Scalable Summarization Using Robust NLP and Machine LearningChinatsu Aone, Mary Ellen Okurowski, James Gorlinsky. acl 1998: 62-66

The Role of Machine Learning in Building Image Interpretation SystemsTerry Caelli, Walter F. Bischof. ijprai, 11(1):143-168, 1997.

Machine Learning for Information ExtractionFilippo Neri, Lorenza Saitta. scie 1997: 171-191

Consciousness in a Self-Learning, Memory-Controlled, Compound MachineRobert Alan Brown. NN, 10(7):1333-1343, 1997. [doi]

Machine LearningThomas G. Dietterich. ACM Comput. Surv., 28(4es):3, 1996.

ID+: Enhancing Medical Knowledge Acquisition with Machine LearningLena Gaga. aai, 10(2):79-94, 1996. [doi]

Application of a neural network machine learning model in the selection system of sheet metal bending toolingZone-Ching Lin, Da-Yuan Chang. aei, 10(1):21-37, 1996. [doi]

Overfitting and Undercomputing in Machine LearningThomas G. Dietterich. ACM Comput. Surv., 27(3):326-327, 1995.

Machine Learning of Higher-Order ProgramsGanesh Baliga, John Case, Sanjay Jain, Mandayam Suraj. JSYML, 59(2):486-500, 1994.

Machine learning in transportation engineering: A feasibility studyTomasz Arciszewski, S. Khasnabis, S. Khurshidul Hoda, Wojciech Ziarko. aai, 8(1):109-124, 1994.

Machine learning goes to the bankClaire Nellellec, Joaquim Correia, José Luís Ferreira, Ernesto Jorge Costa. aai, 8(4):593-615, 1994.

Photonic Neural Networks and Learning MachinesNabil H. Farhat. expert, 7(5):63-72, 1992. [doi]

Advanced Machine Learning Techniques for Computer VisionStéphane Moscatelli, Yves Kodratoff. ac 1992: 161-197

Principal Components and the Accuracy of Machine LearningZbigniew Duszak, Waldemar W. Koczkodaj. DEXA 1992: 421-426

Machine Learning - EWSL-91, European Working Session on Learning, Porto, Portugal, March 6-8, 1991, ProceedingsYves Kodratoff, editor, Volume 482 of Lecture Notes in Computer Science, Springer, 1991.

On the Complexity of Learning Minimum Time-Bounded Turing MachinesKer-I Ko. colt 1990: 82-96 [doi]

Parallel Processes of Decision Making and Multivalued Interpretation of Contradictory Data by Learning Neuron MachinesVladimir D. Mazurov. seke 1990: 165

Introduction: Paradigms for Machine LearningJaime G. Carbonell. ai, 40(1-3):1-9, 1989.

Machine Learning - Ein Bericht über zwei IJCAI-AktivitätenRüdiger Oehlmann. ki, 2(3):20-22, 1988.

Machine Learning in the Next Five YearsDonald Michie. ecml 1988: 107-122

New Theoretical Directions in Machine LearningDavid Haussler. ml, 2(4):281-284, 1987.

A two-level committee machine: a representation and a learning procedure for general piecewise linear discriminant functionsRyuzo Takiyama. PR, 13(3):269-274, 1981. [doi]

Programs for Machine Learning. Part IAiko M. Hormann. iandc, 5(4):347-367, December 1962.

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