Vacillatory and BC learning on noisy data

[1]  Arun Sharma,et al.  A Note on Batch and Incremental Learnability , 1998, J. Comput. Syst. Sci..

[2]  L. Robertson,et al.  Normal sustained effects of selective attention are absent in schizophrenic patients withdrawn from medication , 1996, Psychiatry Research.

[3]  John Case,et al.  Synthesizing enumeration techniques for language learning , 1996, COLT '96.

[4]  Frank Stephan,et al.  Noisy Inference and Oracles , 1995, Theor. Comput. Sci..

[5]  Thomas Zeugmann,et al.  Characterizations of Monotonic and Dual Monotonic Language Learning , 1995, Inf. Comput..

[6]  John Case,et al.  Learning Recursive Functions from Approximations , 1995, J. Comput. Syst. Sci..

[7]  Gianfranco Bilardi,et al.  Language Learning Without Overgeneralization , 1992, Theor. Comput. Sci..

[8]  John Case,et al.  Complexity Issues for Vacillatory Function Identification , 1995, Inf. Comput..

[9]  Sanjay Jain,et al.  Open Problems in "Systems That Learn" , 1994, J. Comput. Syst. Sci..

[10]  John Case,et al.  Vacillatory Learning of Nearly Minimal Size Grammars , 1994, J. Comput. Syst. Sci..

[11]  John Case,et al.  Machine Learning of Higher-Order Programs , 1994, J. Symb. Log..

[12]  S. Kapur,et al.  Universal Grammar and Learnability Theory: The Case of Binding Domains and the ‘Subset Principle’ , 1993 .

[13]  K. Wexler.  The Subset Principle is an Intensional Principle , 1993 .

[14]  Yasuhito Mukouchi,et al.  Characterization of Finite Identification , 1992, AII.

[15]  Arun Sharma,et al.  Learning from Multiple Sources of Inaccurate Data , 1992, AII.

[16]  Thomas Zeugmann,et al.  Types of monotonic language learning and their characterization , 1992, COLT '92.

[17]  Daniel N. Osherson,et al.  Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists , 1990 .

[18]  William I. Gasarch,et al.  Learning via queries to an oracle , 1989, COLT '89.

[19]  Sanjay Jain,et al.  Learning in the presence of inaccurate information , 1989, COLT '89.

[20]  P. Odifreddi.  Classical recursion theory , 1989 .

[21]  John Case.  The power of vacillation , 1988, COLT '88.

[22]  R. Soare.  Recursively enumerable sets and degrees , 1987 .

[23]  Joseph H. Danks,et al.  Knowledge And Language , 1986 .

[24]  Klaus P. Jantke,et al.  Analogical and Inductive Inference , 1986, Lecture Notes in Computer Science.

[25]  Robert C. Berwick,et al.  The acquisition of syntactic knowledge , 1985 .

[26]  Carl H. Smith,et al.  Inductive Inference: Theory and Methods , 1983, CSUR.

[27]  John Case,et al.  Comparison of Identification Criteria for Machine Inductive Inference , 1983, Theor. Comput. Sci..

[28]  John Case,et al.  Machine Inductive Inference and Language Identification , 1982, ICALP.

[29]  Dana Angluin,et al.  Inductive Inference of Formal Languages from Positive Data , 1980, Inf. Control..

[30]  Efim B. Kinber,et al.  On a Theory of Inductive Inference , 1977, FCT.

[31]  Manuel Blum,et al.  Toward a Mathematical Theory of Inductive Inference , 1975, Inf. Control..

[32]  Ya. M. Barzdin,et al.  Towards a Theory of Inductive Inference (in Russian) , 1973, MFCS.

[33]  E. Mark Gold,et al.  Language Identification in the Limit , 1967, Inf. Control..

[34]  Manuel Blum,et al.  A Machine-Independent Theory of the Complexity of Recursive Functions , 1967, JACM.