|
Titel
|
Author
|
Year
|
Type
|
|
Biologically Plausible Models of Place Recognition and Goal Location
|
Zipser, D.
|
1989
|
Incollection
|
|
Bit-climbing, Representational Bias and Test Suite Design
|
Davis, L.
|
1991
|
Inproceedings
|
|
Bittere Pillen
|
K. Langbein and H.-P. Martin and P. Sichrovsky and H. Weiss
|
1983
|
Book
|
|
Boolean feature discovery in empirical learning
|
Pagallo, G. and Haussler, D.
|
1990
|
Article
|
|
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
|
Grove,A.J and Schuurmans,D
|
1998
|
Inproceedings
|
|
Boosting the Margin: A New Explanation for the Effectiveness of Voting Method
|
Schapire,Robert E and Freund,Y and Bartlett,P and Lee,S
|
1998
|
Article
|
|
Bootstrap methods: Another look at the jackknife
|
Efron, B.
|
1979
|
Article
|
|
Bottom--up Abduction by Model Generation
|
Katsumi Inoue and Yoshihiko Ohta and Ryuzo Hasegawa and Makoto Nakashima
|
1993
|
Inproceedings
|
|
Bottom-up Induction of Functional Dependencies from Relations
|
Savnik, Iztok and Flach, Peter A.
|
1993
|
Inproceedings
|
|
Bottom-up relational learning of pattern matching rules for information extraction
|
Califf, M.E. and Mooney, R.J.
|
2003
|
Incollection
|
|
Bottum-Up Indution of Functional Dependencies from Relations
|
I. Savnik and P. Flach
|
1993
|
Inproceedings
|
|
Bounded Degree Graph Inference from Walks
|
Raghavan, Vijay
|
1991
|
Inproceedings
|
|
Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the {VC} Dimension
|
Haussler, David and Kearns, Michael and Schapire, Robert
|
1991
|
Inproceedings
|
|
Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension
|
D. Haussler and M. Kearns and R. Schapire
|
1991
|
Inproceedings
|
|
Brain Mechanisms in Categorical Perception
|
Wilson, Martha
|
1987
|
Incollection
|
|
Browsing-Assistenten, Tour Guides und adaptive WWW-Server
|
T. Joachims and D. Mladeni\`{c}
|
1998
|
Article
|
|
Building Agents out of Autonomous Behavior Systems
|
Luc Steels
|
1993
|
Incollection
|
|
Building a Machine Learning Toolbox
|
{K}odratoff, {Y}ves and {S}leeman, {D}erek and {U}szynski, {M}arc and {C}ausse, {K}arine and {C}raw, {S}usan
|
1992
|
Incollection
|
|
Building and Refining Abstract Planning Cases by Change of Representation Language
|
Bergmann, Ralph and Wilke, Wolfgang
|
1995
|
Techreport
|
|
Building Domain-Specific Search Engines with Machine Learning Techniques
|
Andrew McCallum and Kamal Nigam and Jason Rennie and Kristie Seymore
|
1999
|
Inproceedings
|
|
Building Domain-Specific Search Engines with Machine Learning Techniques
|
Andrew McCallum and Kamal Nigam and Jason Rennie and Kristie Seymore
|
1999
|
Inproceedings
|
|
Building elementary robot skills from human demonstration
|
M. Kaiser and R. Dillmann
|
1996
|
Inproceedings
|
|
Building Expert Systems
|
Hayes-Roth, Frederick and Waterman, Donald A. and Lenat, Douglas
|
1983
|
Book
|
|
Building Expert Systems with {KNACK}
|
Georg Klinker and Casey Boyd and David Dong and Jon Maiman and John McDermott and Robert Schnelbach
|
1989
|
Article
|
|
Building Large Knowledge--Based Systems.
|
Lenat, Douglas and Guha, R. V.
|
1990
|
Book
|
|
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