225 citations · 617 across the 17 of their papers we have counts for
15 papers · 1 filter
Solving #SAT and Bayesian Inference with Backtracking Search
Fahiem Bacchus, Shannon Dalmao, Toniann Pitassi
Inference in Bayes Nets (BAYES) is an important problem with numerous applications in probabilistic reasoning. Counting the number of satisfying assignments of a propositional form…
Probability Distributions Over Possible Worlds
Fahiem Bacchus
In Probabilistic Logic Nilsson uses the device of a probability distribution over a set of possible worlds to assign probabilities to the sentences of a logical language. In his pa…
Lp : A Logic for Statistical Information
Fahiem Bacchus
This extended abstract presents a logic, called Lp, that is capable of representing and reasoning with a wide variety of both qualitative and quantitative statistical information.…
Using Causal Information and Local Measures to Learn Bayesian Networks
Wai Lam, Fahiem Bacchus
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL p…
Using First-Order Probability Logic for the Construction of Bayesian Networks
Fahiem Bacchus
We present a mechanism for constructing graphical models, specifically Bayesian networks, from a knowledge base of general probabilistic information. The unique feature of our appr…
Using New Data to Refine a Bayesian Network
Wai Lam, Fahiem Bacchus
We explore the issue of refining an existent Bayesian network structure using new data which might mention only a subset of the variables. Most previous works have only considered…