M. Malliaris and L. Salchenberger. A neural network model for estimating option prices. Journal of Applied Intelligence, 3(3):193--206, 1993. 22 Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Distributed Data Mining Systems - Prodromidis (1999) (Correct)
.... et al. 1989 ] in predicting glucose levels for diabetic patients [ Carson Fischer, 1990 ] in detecting credit card fraud [ Stolfo et al. 1997a ] in steering vehicles driving autonomously on public highways at 70 miles an hour [ Pomerleau, 1992 ] in predicting stock option pricing [ Malliaris Salchenberger, 1993 ] and in computing customized electronic newspapers [ K.Lang, 1995 ] to name a few applications. Many large business institutions and market analysis firms attempt to distinguish the low risk (high profit) potential customers by learning simple categorical classifications of their potential ....
Malliaris, M., and Salchenberger, L. 1993. A neural network model for estimating option prices. Applied Intelligence 3(3):193--206.
Meta-Learning in Distributed Data Mining Systems: Issues.. - Prodromidis, Chan, al. (2000) (34 citations) (Correct)
.... Machine learning algorithms 1 have been deployed in heart disease diagnosis [61] in predicting glucose levels for diabetic patients [22] in detecting credit card fraud [65] in steering vehicles driving autonomously on public highways at 70 miles an hour [50] in predicting stock option pricing [46] and in computing customized electronic newspapers[33] to name a few applications. Many large business institutions and market analysis firms attempt to distinguish the low risk (high profit) potential customers by learning simple categorical classifications of their potential customer base. ....
M.Malliaris and L.Salchenberger. A neural network model for estimating option prices. Applied Intelligence, 3(3):193--206, 1993.
Pruning Meta-Classifiers in a Distributed Data Mining System - Prodromidis, Stolfo (1998) (7 citations) (Correct)
.... Machine learning algorithms have been deployed in heart disease diagnosis [29] in predicting glucose levels for diabetic patients [12] in detecting credit card fraud [30] in steering vehicles driving autonomously on public highways at 70 miles an hour [24] in predicting stock option pricing [23], in computing customizing electronic newspapers[15] etc. Many large business institutions and market analysis firms attempt to distinguish the low risk (high profit) potential customers by learn simple categorical classifications of their potential customer data base. Similarly, defense and ....
M.Malliaris and L.Salchenberger. A neural network model for estimating option prices. Applied Intelligence, 3(3):193--206, 1993.
On the Management of Distributed Learning Agents - Prodromidis (1997) (Correct)
.... Machine learning algorithms have been deployed in heart disease diagnosis [39] in predicting glucose levels for diabetic patients [17] in detecting credit card fraud [41] in steering vehicles driving autonomously on public highways at 70 miles an hour [33] in predicting stock option pricing [32], in computing customizing electronic newspapers[21] etc. Many large business institutions and market analysis firms attempt to distinguish the low risk (high profit) potential customers by learn simple categorical classifications of their potential customer data base. Similarly, defense and ....
M.Malliaris and L.Salchenberger. A neural network model for estimating option prices. Applied Intelligence, 3(3):193--206, 1993.
Meta-Learning in Distributed Data Mining Systems: Issues.. - Prodromidis, Chan, al. (2000) (34 citations) (Correct)
.... Machine learning algorithms have been deployed in heart disease diagnosis [53] in predicting glucose levels for diabetic patients [20] in detecting credit card fraud [57] in steering vehicles driving autonomously on public highways at 70 miles an hour [43] in predicting stock option pricing [40] and in computing customized electronic newspapers[27] to name a few applications. Many large business institutions and market analysis firms attempt to distinguish the low risk (high profit) potential customers by learning simple categorical classifications of their potential customer base. ....
M.Malliaris and L.Salchenberger. A neural network model for estimating option prices. Applied Intelligence, 3(3):193--206, 1993.
Arbitrating Among Competing Classifiers Using Learned Referees - Ortega, Koppel, Argamon (1998) (7 citations) (Correct)
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M. Malliaris and L. Salchenberger. A neural network model for estimating option prices. Journal of Applied Intelligence, 3(3):193--206, 1993. 22
Neural Network Prediction with Noisy Predictors. - Ding (1998) (Correct)
No context found.
M. Malliaris and L. Salchenberger, "A Neural Network Model for Estimating Option Prices," Journal of Applied Intelligence, vol. 3, pp. 193-206, 1993.
Pruning Meta-Classifiers in a Distributed Data Mining System - Prodromidis (1998) (7 citations) (Correct)
No context found.
M.Malliaris, and L.Salchenberger. 1993. A neural network model for estimating option prices. Applied Intelligence 3(3):193--206.
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