Results 1  10
of
16,774
Estimating Loss Rates with TCP
 ACM Performance Evaluation Review
, 2003
"... Estimating loss rates along a network path is a problem that has received much attention within the research community. However, deriving accurate estimates of the loss rate from TCP transfers has been largely unaddressed. In this paper, we first show that using a simple count of the number of retra ..."
Abstract

Cited by 47 (8 self)
 Add to MetaCart
Estimating loss rates along a network path is a problem that has received much attention within the research community. However, deriving accurate estimates of the loss rate from TCP transfers has been largely unaddressed. In this paper, we first show that using a simple count of the number
On the optimality of the simple Bayesian classifier under zeroone loss
 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 Dantzig selector: statistical estimation when p is much larger than n
, 2005
"... In many important statistical applications, the number of variables or parameters p is much larger than the number of observations n. Suppose then that we have observations y = Ax + z, where x ∈ R p is a parameter vector of interest, A is a data matrix with possibly far fewer rows than columns, n ≪ ..."
Abstract

Cited by 879 (14 self)
 Add to MetaCart
‖ˆx − x ‖ 2 ℓ2 ≤ C2 ( · 2 log p · σ 2 + ∑ min(x 2 i, σ 2) Our results are nonasymptotic and we give values for the constant C. In short, our estimator achieves a loss within a logarithmic factor of the ideal mean squared error one would achieve with an oracle which would supply perfect information
SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
 SUBMITTED TO THE ANNALS OF STATISTICS
, 2007
"... We exhibit an approximate equivalence between the Lasso estimator and Dantzig selector. For both methods we derive parallel oracle inequalities for the prediction risk in the general nonparametric regression model, as well as bounds on the ℓp estimation loss for 1 ≤ p ≤ 2 in the linear model when th ..."
Abstract

Cited by 472 (11 self)
 Add to MetaCart
We exhibit an approximate equivalence between the Lasso estimator and Dantzig selector. For both methods we derive parallel oracle inequalities for the prediction risk in the general nonparametric regression model, as well as bounds on the ℓp estimation loss for 1 ≤ p ≤ 2 in the linear model when
Optimizing Estimated Loss . . . Learning
, 2008
"... Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of instances in the input space. However, collecting labeled data is growing into a burden in many rank applications since labeli ..."
Abstract
 Add to MetaCart
labeling requires eliciting the relative ordering over the set of alternatives. In this paper, we propose a novel active learning framework for SVMbased and boostingbased rank learning. Our approach suggests sampling based on maximizing the estimated loss differential over unlabeled data. Experimental
EndtoEnd Internet Packet Dynamics,”
 Proc. SIGCOMM '97,
, 1997
"... Abstract We discuss findings from a largescale study of Internet packet dynamics conducted by tracing 20,000 TCP bulk transfers between 35 Internet sites. Because we traced each 100 Kbyte transfer at both the sender and the receiver, the measurements allow us to distinguish between the endtoend ..."
Abstract

Cited by 843 (19 self)
 Add to MetaCart
toend behaviors due to the different directions of the Internet paths, which often exhibit asymmetries. We characterize the prevalence of unusual network events such as outoforder delivery and packet corruption; discuss a robust receiverbased algorithm for estimating "bottleneck bandwidth
A New Statistical Parser Based on Bigram Lexical Dependencies
, 1996
"... This paper describes a new statistical parser which is based on probabilities of dependencies between headwords in the parse tree. Standard bigram probability estimation techniques are extended to calculate probabilities of dependencies between pairs of words. Tests using Wall Street Journal ..."
Abstract

Cited by 490 (4 self)
 Add to MetaCart
This paper describes a new statistical parser which is based on probabilities of dependencies between headwords in the parse tree. Standard bigram probability estimation techniques are extended to calculate probabilities of dependencies between pairs of words. Tests using Wall Street
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
 Proc. Natl. Acad. Sci. USA
, 1990
"... ABSTRACT Paramagnetic deoxyhemoglobin in venous blood is a naturally occurring contrast agent for magnetic resonance imaging (MRI). By accentuating the effects of this agent through the use of gradientecho techniques in high fields, we demonstrate in vivo images of brain microvasculature with imag ..."
Abstract

Cited by 648 (1 self)
 Add to MetaCart
dispersion of water proton signals is produced at the echo time. This dispersion reduces the signal intensity and the voxel appears dark in the image. These intensity losses, which at high magnetic fields (4 T) extend significantly beyond the boundary of the blood vessel, are the source of BOLD contrast
Estimating Loss Reserves for Dental Claims
, 2005
"... Abstract Insurers are required to estimate a liability at the end of every month for dental services already performed, but for which payment has not been made. These are typically claims that have not yet been reported or are under investigation. The traditional methods of making this estimate are ..."
Abstract
 Add to MetaCart
that there appears to be no model that works well on all data sets, suggesting that each client of Delta Dental must be considered individually when estimating loss reserves.
MulticastBased Inference of NetworkInternal Characteristics: Accuracy of Packet Loss Estimation
 IEEE Transactions on Information Theory
, 1998
"... We explore the use of endtoend multicast traffic as measurement probes to infer networkinternal characteristics. We have developed in an earlier paper [2] a Maximum Likelihood Estimator for packet loss rates on individual links based on losses observed by multicast receivers. This technique explo ..."
Abstract

Cited by 323 (40 self)
 Add to MetaCart
We explore the use of endtoend multicast traffic as measurement probes to infer networkinternal characteristics. We have developed in an earlier paper [2] a Maximum Likelihood Estimator for packet loss rates on individual links based on losses observed by multicast receivers. This technique
Results 1  10
of
16,774