Journal of Artificial Intelligence Research (JAIR), Volume 10

Volume 10, 1999

• Ernest Davis:
  Order of Magnitude Comparisons of Distance. 1-38
  
• Tad Hogg:
  Solving Highly Constrained Search Problems with Quantum Computers. 39-66
  
• Joseph Y. Halpern:
  A Counterexample to Theorems of Cox and Fine. 67-85
  
• Derek Long, Maria Fox:
  Efficient Implementation of the Plan Graph in STAN. 87-115
  
• Nir Friedman, Joseph Y. Halpern:
  Modeling Belief in Dynamic Systems, Part II: Revision and Update. 117-167
  
• Dirk Fuchs, Marc Fuchs:
  Cooperation between Top-Down and Bottom-Up Theorem Provers. 169-198
  
• Thomas Lukasiewicz:
  Probabilistic Deduction with Conditional Constraints over Basic Events. 199-241
  
• William W. Cohen, Robert E. Schapire, Yoram Singer:
  Learning to Order Things. 243-270
  
• Kai Ming Ting, Ian H. Witten:
  Issues in Stacked Generalization. 271-289
  
• Tommi Jaakkola, Michael I. Jordan:
  Variational Probabilistic Inference and the QMR-DT Network. 291-322
  
• Jussi Rintanen:
  Constructing Conditional Plans by a Theorem-Prover. 323-352
  
• David Joslin, David P. Clements:
  Squeaky Wheel Optimization. 353-373
  
• Steve A. Chien, Andre Stechert, Darren Mutz:
  Efficient Heuristic Hypothesis Ranking. 375-397
  
• Alexander Borgida:
  Extensible Knowledge Representation: the Case of Description Reasoners. 399-434
  
• David Barber, Piërre van de Laar:
  Variational Cumulant Expansions for Intractable Distributions. 435-455
  
• Elazar Birnbaum, Eliezer L. Lozinskii:
  The Good Old Davis-Putnam Procedure Helps Counting Models. 457-477