Journals in DBLP

Machine Learning
1994, volume: 14, number: 1

1. Dana Angluin, Donna K. Slonim
   Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1994, v:14, n:1, pp:7-26 [Journal]
   
2. David P. Helmbold, Philip M. Long
   Tracking Drifting Concepts By Minimizing Disagreements. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1994, v:14, n:1, pp:27-45 [Journal]
   
3. Robert E. Schapire
   Learning Probabilistic Read-once Formulas on Product Distributions. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1994, v:14, n:1, pp:47-81 [Journal]
   
4. David Haussler, Michael J. Kearns, Robert E. Schapire
   Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1994, v:14, n:1, pp:83-113 [Journal]
   
5. Andrew R. Barron
   Approximation and Estimation Bounds for Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1994, v:14, n:1, pp:115-133 [Journal]
   
6. Katharina Morik, Francesco Bergadano, Wray L. Buntine
   Guest Editorial. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1994, v:14, n:1, pp:137-138 [Journal]
   
7. Janusz Wnek, Ryszard S. Michalski
   Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1994, v:14, n:1, pp:139-168 [Journal]
   
8. Stefan Wrobel
   Concept Formation During Interactive Theory Revision. [Citation Graph (1, 0)][DBLP]
   Machine Learning, 1994, v:14, n:1, pp:169-191 [Journal]
   
9. Jörg-Uwe Kietz, Katharina Morik
   A Polynomial Approach to the Constructive Induction of Structural Knowledge. [Citation Graph (1, 0)][DBLP]
   Machine Learning, 1994, v:14, n:1, pp:193-217 [Journal]
   
10. Céline Rouveirol
    Flattening and Saturation: Two Representation Changes for Generalization. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:219-232 [Journal]
    
11. Jean-Francois Puget
    Explicit Representation of Concept Negation. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:233-247 [Journal]
    
12. Wolfgang Maass, György Turán
    Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:251-269 [Journal]
    
13. Sally A. Goldman, Robert H. Sloan
    The Power of Self-Directed Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:271-294 [Journal]
    
14. Peter Dayan, Terrence J. Sejnowski
    TD(lambda) Converges with Probability 1. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:295-301 [Journal]
    
15. Derek H. Sleeman
    Introduction to the Abstracts of the Invited Talks Presented at ML92 Conference in Aberdeen, 1-3 July 1992. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:303- [Journal]
    
16. Ivan Bratko
    Machine Learning and Qualitative Reasoning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:305-312 [Journal]
    
17. David Klahr
    Children, Adults, and Machines as Discovery Systems. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:313-320 [Journal]
    
18. Jude W. Shavlik
    Combining Symbolic and Neural Learning. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:321-331 [Journal]
    
19. Oren Etzioni, Ruth Etzioni
    Statistical Methods for Analyzing Speedup Learning Experiments. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:333-347 [Journal]