164 citations
7 papers
Network Engineering for Complex Belief Networks
Suzanne M. Mahoney, Kathryn Blackmond Laskey
Like any large system development effort, the construction of a complex belief network model requires systems engineering to manage the design and construction process. We propose…
Network Fragments: Representing Knowledge for Constructing Probabilistic Models
Kathryn Blackmond Laskey, Suzanne M. Mahoney
In most current applications of belief networks, domain knowledge is represented by a single belief network that applies to all problem instances in the domain. In more complex dom…
Constructing Situation Specific Belief Networks
Suzanne M. Mahoney, Kathryn Blackmond Laskey
This paper describes a process for constructing situation-specific belief networks from a knowledge base of network fragments. A situation-specific network is a minimal query compl…
Multiplicative Factorization of Noisy-Max
Masami Takikawa, Bruce D'Ambrosio
The noisy-or and its generalization noisy-max have been utilized to reduce the complexity of knowledge acquisition. In this paper, we present a new representation of noisy-max that…
Representing and Combining Partially Specified CPTs
Suzanne M. Mahoney, Kathryn Blackmond Laskey
This paper extends previous work with network fragments and situation-specific network construction. We formally define the asymmetry network, an alternative representation for a c…
Hypothesis Management in Situation-Specific Network Construction
Kathryn Blackmond Laskey, Suzanne M. Mahoney, Ed Wright
This paper considers the problem of knowledge-based model construction in the presence of uncertainty about the association of domain entities to random variables. Multi-entity Bay…