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ECAI
2004
Springer
15 years 11 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
ICDE
2007
IEEE
158views Database» more  ICDE 2007»
16 years 7 months ago
Efficient Evaluation of Imprecise Location-Dependent Queries
In location-based services, it is common for a user to issue a query based on his/her current position. One such example is "find the available cabs within two miles of my cu...
Jinchuan Chen, Reynold Cheng
ORL
2000
77views more  ORL 2000»
15 years 6 months ago
Improved dynamic programs for some batching problems involving the maximum lateness criterion
We study four scheduling problems involving the maximum lateness criterion and an element of batching. For all the problems that we examine, algorithms appear in the literature th...
Albert P. M. Wagelmans, A. E. Gerodimos
AAAI
2000
15 years 7 months ago
Dynamic Representations and Escaping Local Optima: Improving Genetic Algorithms and Local Search
Local search algorithms often get trapped in local optima. Algorithms such as tabu search and simulated annealing 'escape' local optima by accepting nonimproving moves. ...
Laura Barbulescu, Jean-Paul Watson, L. Darrell Whi...
ISRR
2005
Springer
178views Robotics» more  ISRR 2005»
15 years 12 months ago
Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
Aaron Plotnik, Stephen Rock