Publication

Titel Author Year Type
Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization Scott Dietzen, Frank Pfenning 1992 Article
Higher-Order Concepts in a Tractable Knowledge Representation Wrobel, Stefan 1987 Inproceedings
Highlights: Language- and Domain-Independent Automatic Indexing Terms for Abstracting J.D. Cohen 1995 Article
Hill-Climbing Theories of Learning Pat Langley and J.H. Gennari and W. Iba June 1987 Inproceedings
Homing Using combinations of Model Views Ronen Basri and Ehud Rivlin 1993 Inproceedings
Homogeneous Discoveries Contain no Surprises: Inferring Risk-profiles from Large Databases Siebes, Arno 1994 Techreport
Homogenous Sets Michael Morley 1977 Incollection
Horn Clauses and Database Dependencies Ronald Fagin 1982 Article
How a Computer Should Think Belnap, N.D. 1976 Incollection
How Beginning Students Use Graphs of Motion Scanlon, Eileen 1998 Incollection
How Can an Agent Learn to Negotiate Dajun Zeng and Katia Sycara 1997 Inproceedings
How Do You Choose Your Agents? -- How Do You Distribute Your Processes? Miles Pebody 1995 Incollection
How important is metadata? Garcia-Molina, Hector and Hillmann, Diane and Lagoze, Carl and Liddy, Elizabeth D. and Weibel, Stuart 2002 Inproceedings
How Might People Interact with Agents Donald A. Norman 1997 Incollection
How Scientists Build Models In Vivo Science as a Window on the Scientific Mind Kevin Dunbar 1999 Inproceedings
How Swarms Build Cognitive Maps Dante R. Chialvo and Mark M. Millonas 1995 Incollection
How Things are Intended to Work: Capturing Functional Knowledge in Device Design Yumi Iwasaki and Richard Fikes and Marcos Vescovi and B. Chandrasekaran 1993 Inproceedings
How To Do Things with Worlds: On Formalizing Actions and Plans Brewka, Gerhard and Hertzberg, Joachim 1990 Booklet
How to implement M4 operators Timm Euler 2002 Techreport
How To Learn Imprecise Concepts: A Method for Employing a Two-Tiered Knowledge Representation in Learning R.S. Michalski 1987 Inproceedings
How to Predict It: Inductive Prediction by Analogy Using Taxonomic Information Ishikawa, Takashi and Terano, Takao 1996 Incollection
How to Prefer More Specific Defaults in Terminological Default Logic Franz Baader and Bernhard Hollunder 1993 Inproceedings
How to preprocess large databases Zücker, Regina and Kietz, Jörg--Uwe 2000 Inproceedings
How to Represent Evidence - Aspects of Uncertain Reasoning Rollinger, C.-R. 1983 Inproceedings
How U--Learnability Fits Machine Learning Practice: A Learnability Result for the Decision Tree Learner CART Muggleton, Stephen and Page Jr., C.~David Unpublished
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