Journals in DBLP

Machine Learning
1992, volume: 9, number:

1. Jaime G. Carbonell
   Machine Learning: A Maturing Field. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1992, v:9, n:, pp:5-7 [Journal]
   
2. Nicol N. Schraudolph, Richard K. Belew
   Dynamic Parameter Encoding for Genetic Algorithms. [Citation Graph (1, 0)][DBLP]
   Machine Learning, 1992, v:9, n:, pp:9-21 [Journal]
   
3. Scott Dietzen, Frank Pfenning
   Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1992, v:9, n:, pp:23-55 [Journal]
   
4. Michael J. Pazzani, Dennis F. Kibler
   The Utility of Knowledge in Inductive Learning. [Citation Graph (2, 0)][DBLP]
   Machine Learning, 1992, v:9, n:, pp:57-94 [Journal]
   
5. Vasant Honavar
   Neural Network Design and the Complexity of Learning (Book Review). [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1992, v:9, n:, pp:95-98 [Journal]
   
6. J. Stephen Judd
   A Reply to Honavar's Book Review of Neural Network Design and the Complexity of Learning. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1992, v:9, n:, pp:99-100 [Journal]
   
7. Wolfgang Maass, György Turán
   Lower Bound Methods and Separation Results for On-Line Learning Models. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1992, v:9, n:, pp:107-145 [Journal]
   
8. Dana Angluin, Michael Frazier, Leonard Pitt
   Learning Conjunctions of Horn Clauses. [Citation Graph (1, 0)][DBLP]
   Machine Learning, 1992, v:9, n:, pp:147-164 [Journal]
   
9. Kenji Yamanishi
   A Learning Criterion for Stochastic Rules. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 1992, v:9, n:, pp:165-203 [Journal]
   
10. Naoki Abe, Manfred K. Warmuth
    On the Computational Complexity of Approximating Distributions by Probabilistic Automata. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:205-260 [Journal]
    
11. Daniel N. Osherson, Michael Stob, Scott Weinstein
    A Universal Method of Scientific Inquiry. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:261-271 [Journal]
    
12. John R. Anderson, Michael Matessa
    Explorations of an Incremental, Bayesian Algorithm for Categorization. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:275-308 [Journal]
    
13. Gregory F. Cooper, Edward Herskovits
    A Bayesian Method for the Induction of Probabilistic Networks from Data. [Citation Graph (3, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:309-347 [Journal]
    
14. Michael J. Pazzani, Wendy Sarrett
    A Framework for Average Case Analysis of Conjunctive Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:349-372 [Journal]
    
15. Avrim Blum
    Learning Boolean Functions in an Infinite Attribute Space. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:373-386 [Journal]
    
16. Terence C. Fogarty
    First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:387-388 [Journal]