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ATAL
2006
Springer
15 years 10 months ago
Using multiagent teams to improve the training of incident commanders
The DEFACTO system is a multiagent based tool for training incident commanders for large scale disasters. In this paper, we highlight some of the lessons that we have learned from...
Nathan Schurr, Pratik Patil, Frederic H. Pighin, M...
179
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IDEAL
2000
Springer
15 years 10 months ago
Combining Ordinal Financial Predictions with Genetic Programming
Abstract. Ordinal data play an important part in financial forecasting. For example, advice from expert sources may take the form of "bullish", "bearish" or &qu...
Edward P. K. Tsang, Jin Li
IDEAL
2000
Springer
15 years 10 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
AAAI
2008
15 years 9 months ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen
AAAI
2008
15 years 9 months ago
On the Power of Top-Down Branching Heuristics
We study the relative best-case performance of DPLL-based structure-aware SAT solvers in terms of the power of the underlying proof systems. The systems result from (i) varying th...
Matti Järvisalo, Tommi A. Junttila