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Journals in DBLP

Machine Learning
1997, volume: 29, number: 2-3

  1. Pat Langley, Gregory M. Provan, Padhraic Smyth
    Learning with Probabilistic Representations. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:91-101 [Journal]
  2. Pedro Domingos, Michael J. Pazzani
    On the Optimality of the Simple Bayesian Classifier under Zero-One Loss. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:103-130 [Journal]
  3. Nir Friedman, Dan Geiger, Moisés Goldszmidt
    Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:131-163 [Journal]
  4. Sanjoy Dasgupta
    The Sample Complexity of Learning Fixed-Structure Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:165-180 [Journal]
  5. David Maxwell Chickering, David Heckerman
    Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:181-212 [Journal]
  6. John Binder, Daphne Koller, Stuart J. Russell, Keiji Kanazawa
    Adaptive Probabilistic Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:213-244 [Journal]
  7. Zoubin Ghahramani, Michael I. Jordan
    Factorial Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:245-273 [Journal]
  8. Naoki Abe, Hiroshi Mamitsuka
    Predicting Protein Secondary Structure Using Stochastic Tree Grammars. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:275-301 [Journal]
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