19 search results - page 3 / 4 » Learning Probabilistic Read-Once Formulas on Product Distrib... |
ATAL
2010
Springer
13 years 6 months ago
2010
Springer
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
SIGMOD
2007
ACM
14 years 5 months ago
2007
ACM
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
IJCAI
2007
13 years 7 months ago
2007
A formula in first-order logic can be viewed as a tree, with a logical connective at each node, and a knowledge base can be viewed as a tree whose root is a conjunction. Markov l...
ECML
2007
Springer
13 years 12 months ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...