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On the optimality of the simple Bayesian classifier under zero-one loss

by Pedro Domingos, Michael Pazzani - MACHINE LEARNING , 1997
"... The simple Bayesian classifier is known to be optimal when attributes are independent given the class, but the question of whether other sufficient conditions for its optimality exist has so far not been explored. Empirical results showing that it performs surprisingly well in many domains containin ..."
Abstract - Cited by 818 (27 self) - Add to MetaCart
containing clear attribute dependences suggest that the answer to this question may be positive. This article shows that, although the Bayesian classifier’s probability estimates are only optimal under quadratic loss if the independence assumption holds, the classifier itself can be optimal under zero

The Performance of TCP/IP for Networks with High Bandwidth-Delay Products and Random Loss.

by Member, IEEE T V Lakshman , Senior Member, IEEE Upamanyu Madhow - IEEE/ACM Trans. Networking, , 1997
"... Abstract-This paper examines the performance of TCP/IP, the Internet data transport protocol, over wide-area networks (WANs) in which data traffic could coexist with real-time traffic such as voice and video. Specifically, we attempt to develop a basic understanding, using analysis and simulation, ..."
Abstract - Cited by 465 (6 self) - Add to MetaCart
). The following key results are obtained. First, random loss leads to significant throughput deterioration when the product of the loss probability and the square of the bandwidth-delay product is larger than one. Second, for multiple connections sharing a bottleneck link, TCP is grossly unfair toward connections

CONVERGENCE TO FRACTIONAL BROWNIAN MOTION AND LOSS PROBABILITY

by Jin-chun Kim, Hee-choon Lee
"... Abstract. We study the weak convergence to Fractional Brownian motion and some examples with applications to traffic modeling. Finally, we get loss probability for queue-length distribution related to self-similar process. 1. ..."
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Abstract. We study the weak convergence to Fractional Brownian motion and some examples with applications to traffic modeling. Finally, we get loss probability for queue-length distribution related to self-similar process. 1.

BOUNDS FOR THE LOSS PROBABILITIES OF LARGE LOSS QUEUEING SYSTEMS

by Vyacheslav M. Abramov , 804
"... Abstract. The aim of this paper is to establish the bounds for the least root of the functional equation x = b G(µ − µx), where b G(s) is the Laplace-Stieltjes transform of an unknown probability distribution function G(x) of a positive random variable having the first two moments g1 and g2, and µ i ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
bounds for the positive least root of the functional equation x = b G(µ − µx) are then used to find the asymptotic bounds for the loss probabilities in certain queueing systems with a large number of waiting places, when only an empirical probability distribution function of an interarrival or service

On Loss Probabilities in Presence of Redundant Packets with Random Drop

by Parijat Dube, Omar Ait-hellal, Eitan Altman
"... The purpose of this paper is to study the loss probabilities of messages in an M/M/1/K queueing system where in addition to losses due to buffer overflow there are also random losses in the incoming and outgoing links. We focus on the influence of adding redundant packets to the messages (as in e ..."
Abstract - Cited by 24 (6 self) - Add to MetaCart
The purpose of this paper is to study the loss probabilities of messages in an M/M/1/K queueing system where in addition to losses due to buffer overflow there are also random losses in the incoming and outgoing links. We focus on the influence of adding redundant packets to the messages (as

MINIMIZING LOSS PROBABILITY IN QUEUING SYSTEMS WITH HETEROGENEOUS SERVERS*

by unknown authors
"... Abstract – The probability of losing a customer in M/G/n/0 and GI/M/n/0 loss queuing systems with heterogeneous servers is minimized. The first system uses a queue discipline in which a customer who arrives when there are free servers chooses any one of them with equal probability, but is lost other ..."
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Abstract – The probability of losing a customer in M/G/n/0 and GI/M/n/0 loss queuing systems with heterogeneous servers is minimized. The first system uses a queue discipline in which a customer who arrives when there are free servers chooses any one of them with equal probability, but is lost

Estimating the Loss Probability for Finite Buffer Multiplexers

by Han S. Kim, Ness B. Shroff
"... In this paper we propose an approximation for the loss probability in a finite buffer system by making a simple mapping from the tail probability in an infinite buffer system. We focus on the case of a high-speed network where a large number of sources are expected to be multiplexed so that we model ..."
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In this paper we propose an approximation for the loss probability in a finite buffer system by making a simple mapping from the tail probability in an infinite buffer system. We focus on the case of a high-speed network where a large number of sources are expected to be multiplexed so that we

Resilient Overlay Networks

by David Andersen, Hari Balakrishnan, Frans Kaashoek, Robert Morris , 2001
"... A Resilient Overlay Network (RON) is an architecture that allows distributed Internet applications to detect and recover from path outages and periods of degraded performance within several seconds, improving over today’s wide-area routing protocols that take at least several minutes to recover. A R ..."
Abstract - Cited by 1160 (31 self) - Add to MetaCart
in the Internet. Furthermore, RON was able to improve the loss rate, latency, or throughput perceived by data transfers; for example, about 5 % of the transfers doubled their TCP throughput and 5 % of our transfers saw their loss probability reduced by 0.05. We found that forwarding packets via at most one

Advances in Prospect Theory: Cumulative Representation of Uncertainty

by Amos Tversky, Daniel Kahneman - JOURNAL OF RISK AND UNCERTAINTY, 5:297-323 (1992) , 1992
"... We develop a new version of prospect theory that employs cumulative rather than separable decision weights and extends the theory in several respects. This version, called cumulative prospect theory, applies to uncertain as well as to risky prospects with any number of outcomes, and it allows differ ..."
Abstract - Cited by 1717 (17 self) - Add to MetaCart
distinctive fourfold pattern of risk attitudes: risk aversion for gains and risk seeking for losses of high probability; risk seeking for gains and risk aversion for losses of low probability.

Decreasing Loss Probabilities by Redundancy and Interleaving: An Analytical Study

by Alain Jean-marie, Parijat Dube, Damien Artiges, Eitan Altman - in « Proceedings of the 18th International Teletraffic Congress
"... This paper studies a forward error correction (FEC) scheme that reduces loss probabilities of messages, based on adding redundant packets and interleaving, as proposed in [17]. We first show that when standard redundancy schemes are used, losses of messages occur due to the following locality phenom ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
This paper studies a forward error correction (FEC) scheme that reduces loss probabilities of messages, based on adding redundant packets and interleaving, as proposed in [17]. We first show that when standard redundancy schemes are used, losses of messages occur due to the following locality
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