Zobrazeno 1 - 10
of 33
pro vyhledávání: '"David C. Wilkins"'
Publikováno v:
Journal of Automated Reasoning. 46:103-160
Portfolio methods support the combination of different algorithms and heuristics, including stochastic local search (SLS) heuristics, and have been identified as a promising approach to solve computationally hard problems. While successful in experim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ba427fe096504d9d7c94ada8ff2c2b2
https://doi.org/10.1007/s10817-010-9170-5
https://doi.org/10.1007/s10817-010-9170-5
Publikováno v:
Artificial Intelligence. 170(16-17):1137-1174
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. The results are relevant to research on efficient Bayesian network infe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e8cbfb0707e3bd480397004caec762c
Autor:
David C. Wilkins, Vadim Bulitko
Publikováno v:
Artificial Intelligence. 144:95-124
This paper presents a formalism called Time Interval Petri Nets (TIPNs), which are designed to support a qualitative simulation of temporal concurrent processes. One of the key features of TIPNs is a uniform use of time intervals throughout the model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c0d4d97dffb2056a465839791d63617
https://doi.org/10.1016/s0004-3702(02)00369-7
https://doi.org/10.1016/s0004-3702(02)00369-7
Publikováno v:
Journal of Management Information Systems. 18:147-168
Crises demand swift and effective decision-making; yet there are many problems in training personnel on the skills necessary to achieve the goals of crisis management. This paper has three objectives concerning training for crisis management. First w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71f9177995de51373cbff3a811834ac2
https://doi.org/10.1080/07421222.2002.11045704
https://doi.org/10.1080/07421222.2002.11045704
Publikováno v:
Machine Learning. 38:213-236
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposing learning tasks that admit multiple types of learning architectures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::601959381a54f8b4436d46d4a7d1fba7
https://doi.org/10.1023/a:1007694209216
https://doi.org/10.1023/a:1007694209216
Autor:
Yong Ma, David C. Wilkins
Publikováno v:
Artificial Intelligence. 70:1-32
Probabilistic rules in a classification expert system can result in a sociopathic knowledge base , as a consequence of the assumption of conditional independence between observations and rule modularity. A sociopathic knowledge base has the property
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::522f2f73e4dac80fbf42a28e1f76e2e0
https://doi.org/10.1016/0004-3702(94)90101-5
https://doi.org/10.1016/0004-3702(94)90101-5
Autor:
Steven K. Donoho, David C. Wilkins
Publikováno v:
Knowledge Acquisition. 6:295-314
Constructive induction is a means of improving classification accuracy in difficult domains by transforming a difficult domain into a form amenable to standard induction techniques by constructing new features. When performing constructive induction,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4b0a4785159e914e6cc3884f5aa4874
https://doi.org/10.1006/knac.1994.1015
https://doi.org/10.1006/knac.1994.1015
For hard computational problems, stochastic local search has proven to be a competitive approach to finding optimal or approximately optimal problem solutions. Two key research questions for stochastic local search algorithms are: Which algorithms ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1ed2fc4034e22df6c561a1c1779b9c
Autor:
David C. Wilkins
Publikováno v:
Knowledge Representation and Organization in Machine Learning ISBN: 354050768X
AAAI
AAAI
This paper describes how apprenticeship learning techniques can be used to refine the knowledge base of an expert system for heuristic classification problems. The described method is an alternative to the long-standing practice of creating such know
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0418ef0cbcaf849c6f26e5f57cd2ae63
https://doi.org/10.1007/bfb0017226
https://doi.org/10.1007/bfb0017226
Publikováno v:
HICSS
Crises demand swift and effective decision making. Yet crises entail unique characteristics that hinder training of personnel with the process knowledge necessary to achieve these two goals. First, crises are, by definition, rare; thus, it is usually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3095aff455b70a57164d5929e114b60
https://doi.org/10.1109/hicss.2001.926337
https://doi.org/10.1109/hicss.2001.926337