an advanced course

[1]  Padmini Srinivasan,et al.  Hierarchical neural networks for text categorization (poster abstract) , 1999, SIGIR '99.

[2]  Chris Buckley,et al.  A probabilistic learning approach for document indexing , 1991, TOIS.

[3]  Fabio Crestani,et al.  Searching the web by constrained spreading activation , 2000, Inf. Process. Manag..

[4]  Jean-Marie Pinon,et al.  Browsing in Hyperdocuments with the Assistance of a Neural Network , 1990, ECHT.

[5]  Kui-Lam Kwok,et al.  A network approach to probabilistic information retrieval , 1995, TOIS.

[6]  James A. Reggia,et al.  Connectionist models and information retrieval , 1990 .

[7]  Shlomo Moran,et al.  SALSA: the stochastic approach for link-structure analysis , 2001, TOIS.

[8]  Oscar Cordón,et al.  Special issue on soft computing applications to intelligent information retrieval on the Internet , 2003, Int. J. Approx. Reason..

[9]  Donald H. Kraft,et al.  Fuzzy Set Techniques in Information Retrieval , 1999 .

[10]  Avideh Zakhor,et al.  Video similarity detection with video signature clustering , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[11]  Stefan Wermter,et al.  Neural Network Agents for Learning Semantic Text Classification , 2000, Information Retrieval.

[12]  Paul R. Cohen,et al.  Information retrieval by constrained spreading activation in semantic networks , 1987, Inf. Process. Manag..

[13]  Mohand Boughanem,et al.  Constructing an Information Retrieval System with Neural Networks , 1994, DEXA.

[14]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory, Third Edition , 1989, Springer Series in Information Sciences.

[15]  Hsinchun Chen.  Introduction to the JASIST Special Topic issue on web retrieval and mining: A machine learning perspective , 2003, J. Assoc. Inf. Sci. Technol..

[16]  Edward Y. Chang,et al.  MEGA---the maximizing expected generalization algorithm for learning complex query concepts , 2003, TOIS.

[17]  Hsinchun Chen,et al.  Intelligent internet searching agent based on hybrid simulated annealing , 2000, Decis. Support Syst..

[18]  Brian T. Bartell,et al.  Optimizing ranking functions: a connectionist approach to adaptive information retrieval , 1994 .

[19]  Sang Ho Lee,et al.  An Improved Computation of the PageRank Algorithm , 2002, ECIR.

[20]  Aidong Zhang,et al.  SemQuery: Semantic Clustering and Querying on Heterogeneous Features for Visual Data , 2002, IEEE Trans. Knowl. Data Eng..

[21]  Donald L. Kreider,et al.  Elementary differential equations , 1968 .

[22]  Sndor Dominich.  Mathematical Foundations of Information Retrieval , 2002, Computational Linguistics.

[23]  Hsinchun Chen,et al.  Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering , 2004, TOIS.

[24]  Taher H. Haveliwala.  Efficient Computation of PageRank , 1999 .

[25]  Sándor Dominich.  Interaction Information Retrieval , 1994, J. Documentation.

[26]  Pekka Orponen,et al.  General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results , 2003, Neural Computation.

[27]  Hsinchun Chen,et al.  Information navigation on the web by clustering and summarizing query results , 2001, Inf. Process. Manag..

[28]  Philippe De Wilde.  Neural Network Models , 1996 .

[29]  E. Garfield,et al.  Citation indexes for science. , 1956, Science.

[30]  Daniel E. Rose.  A Symbolic and Connectionist Approach To Legal Information Retrieval , 1994 .

[31]  Jerome A. Feldman,et al.  Connectionist Models and Their Properties , 1982, Cogn. Sci..

[32]  S. Grossberg,et al.  Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors , 1976, Biological Cybernetics.

[33]  Chris H. Q. Ding,et al.  PageRank, HITS and a unified framework for link analysis , 2002, SIGIR '02.

[34]  Pekka Orponen,et al.  Computational complexity of neural networks: a survey , 1994 .

[35]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[36]  Hsinchun Chen,et al.  MetaSpider: Meta-searching and categorization on the Web , 2001, J. Assoc. Inf. Sci. Technol..

[37]  Farshad Fotouhi,et al.  Adaptive clustering of scientific data , 1994, Proceeding of 13th IEEE Annual International Phoenix Conference on Computers and Communications.

[38]  C. J. van Rijsbergen,et al.  The geometry of IR , 2004 .

[39]  Richard K. Belew,et al.  A connectionist approach to conceptual information retrieval , 1987, ICAIL '87.

[40]  Jasmine Novak,et al.  PageRank Computation and the Structure of the Web: Experiments and Algorithms , 2002 .

[41]  Mark Allen Weiss,et al.  Data structures and algorithm analysis , 1991 .

[42]  Daniel E. Rose,et al.  A Connectionist and Symbolic Hybrid for Improving Legal Research , 1991, Int. J. Man Mach. Stud..

[43]  W. James.  Psychology: Briefer Course , 2020 .

[44]  Sándor Dominich,et al.  Connectionist interaction information retrieval , 2003, Inf. Process. Manag..

[45]  Jon Kleinberg,et al.  Authoritative sources in a hyperlinked environment , 1999, SODA '98.

[46]  Farshad Fotouhi,et al.  Adaptive Clustering of Hypermedia Documents , 1996, Inf. Syst..

[47]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[48]  Russell Beale,et al.  Applying connectionist models to information retrieval , 1998 .