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DATAMINE
2002
147views more  DATAMINE 2002»
14 years 11 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...
JHSN
2000
92views more  JHSN 2000»
14 years 11 months ago
On a class of time varying shapers with application to the renegotiable variable bit rate service
A shaper is a system that stores incoming bits in a bu er and delivers them as early as possible, while forcing the output to be constrained with a given arrival curve. A shaper i...
Silvia Giordano
JHSN
2000
390views more  JHSN 2000»
14 years 11 months ago
Telemedicine: challenges and opportunities
Telemedicine is many things to many people. Only until a few years ago, telemedicine was equated to video teleconferencing between physicians, while nowadays, perhaps the most acti...
Sang-goo Lee, Seong K. Mun, Prakash Jha, Betty Ann...
MOC
2000
105views more  MOC 2000»
14 years 11 months ago
On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
The iteratively regularized Gauss-Newton method is applied to compute the stable solutions to nonlinear ill-posed problems F (x) = y when the data y is given approximately by y wit...
Jin Qi-nian
AI
1998
Springer
14 years 11 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok