@conference {
	title = {Maximum Partial Likelihood Estimation with Perceptrons},
	author = {Sonmez, Kemal M., Baras, John S.},
	year = {1993},
	month = {03/1993},
	abstract = {We show the equivalence of two techniques of time series modeling/prediction; (ii) perceptron learning of probability distribution of the truth value of a proposition from first order stochastic density approximations, (ii) Maximum Partial Likelihood (MPL) estimation of the parameters of a logistic regressive model for binary time series. This result provides large training set characteristics for the approximate Kullback-Leibler relative entropy learning scheme.},
	address = {Baltimore, Maryland},
	booktitle = { The 1993 Conference on Information Sciences and Systems},
	pages = {pp. 812-817},
	organization = {Johns Hopkins University}
}
@conference {
	title = {Convergence of a Neural Network Classifier},
	author = {Baras, John S., Chen, Shihwei.},
	year = {1993},
	month = {03/1993},
	abstract = {In this paper, we consider mixed-media networks with multi-media traffic to find the optimal splitting ratios between satellite network ~and terrestrial network for data and voice traffic dynamically. We constantly monitor the traffic and measure the arrival rate and occupancy of every link. Based on these data, we optimize data traffic delay in a suitable time-frame under the constraints of voice traffic blocking probabilities of voice transmission links being less than specified values, which is up to system{\textquoteright}s design or user{\textquoteright}s requirements. A dynamic routing algorithm is presented.~},
	address = {Baltimore, Maryland},
	pages = {pp. 1-10},
	organization = {John Hopkins University}
}
