N.B. Peek and P.J.F. Lucas. Trade-o#s in decision-theoretic planning. In: J. Hunt and R. Miles (eds.), Research and Developments in Expert Systems XIV, SGES publications, Cambridge, UK, 1997, 147--157. Home/Search Document Not in Database Summary Related Articles Check |
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Building and Using Temporal Bayesian Models in a CPR Setting - Lucas, van der Gaag Self-citation (Lucas) (Correct)
.... networks by the principal investigator, will be extended [15, 17, 34, 28, 31] When used to predict the likelihood of future events, we call these models prognostic [6, 44] Within the research team there is significant experience in building Bayesian networks for the medical domain (e.g. [36, 42, 41, 51, 2, 4]) Experience built up in the ICEA project (see Section 6.6) is particularly useful in dealing with the problem domain of infectious disease management in the ICU. 6.4.3 Learning temporal Bayesian models Learning a Bayesian network can be separated into two tasks, structure learning, ....
N.B. Peek and P.J.F. Lucas. Trade-o#s in decision-theoretic planning. In: J. Hunt and R. Miles (eds.), Research and Developments in Expert Systems XIV, SGES publications, Cambridge, UK, 1997, 147--157.
Explicit Temporal Models for Decision-Theoretic Planning of.. - Peek (1999) (2 citations) Self-citation (Peek) (Correct)
....y reviews representation formalisms that have been applied to time critical decision theoretic planning problems in medicine. The fundamental trade o in this eld is between representational expressiveness and model transparency on the one hand, and eciency of solution techniques on the other [15, 23]. Most formalisms impose a number of restrictive assumptions on the type of problem that may be addressed, to enhance computational eciency. Unfortunately, these assumptions are not always made clear. Other formalisms are more general in nature, at the penalty of high computational cost or even ....
N.B. Peek and P.J.F. Lucas, Trade-o s in decision-theoretic planning, in: J. Hunt and R. Miles, eds., Research and Development in Expert Systems XIV (Proceedings of Expert Systems '97) (SGES Publications, 1997), 147-157.
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