Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMachine Learning: From Theory to Applications 1993
- Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest:
Machine Learning: From Theory to Applications - Cooperative Research at Siemens and MIT. Lecture Notes in Computer Science 661, Springer 1993, ISBN 3-540-56483-7 - Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest:
Strategic Directions in Machine Learning. 1-4
Part I: Theory
- Ronald L. Rivest:
Introduction. 7-7 - Avrim Blum, Ronald L. Rivest:
Training a 3-Node Neural Network is NP-Complete. 9-28 - Michael J. Kearns, Leslie G. Valiant:
Cryptographic Limitations on Learning Boolean Formulae and Finite Automata. 29-49 - Ronald L. Rivest, Robert E. Schapire:
Inference of Finite Automata Using Homing Sequences. 51-73
Part II: Artificial Intelligence and Symbolic Learning Methods
- Werner Remmele:
Introduction. 77-77 - Neeraj Bhatnagar:
Adaptive Search by Learning from Incomplete Explanations of Failures. 79-92 - Regine Meunier, Ruxandra Scheiterer, Angelika Hecht:
Learning of Rules for Fault Diagnosis in Power Supply Networks. 93-105 - Robert W. Schwanke, Michael A. Platoff:
Cross References are Features. 107-123 - Gary L. Drescher:
The Schema Mechanism. 125-138 - Kai Zercher:
L-ATMS: A Tight Integration of EBL and the ATMS. 139-152
Part III: Neural and Collective Computation
- Stephen Jose Hanson:
Introduction. 155-156 - Richard H. Lathrop, Teresa A. Webster, Temple F. Smith, Patrick H. Winston:
Massively Parallel Symbolic Induction of Protein Structure/Function Relationships. 157-173 - Robert A. Jacobs, Michael I. Jordan, Andrew G. Barto:
Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. 175-202 - Raymond L. Watrous:
Phoneme Discrimination Using Connectionist Networks. 203-227 - R. Chou, Peiya Liu, James R. Vallino, Ming-Yee Chiu:
Behavior-Based Learning to Control IR Oven Heating: Preliminary Investigations. 229-240 - Thomas Petsche, Bradley W. Dickinson:
Trellis Codes, Receptive Fields, and Fault Tolerant, Self-Repairing Neural Networks. 241-268
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-16 20:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
