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Game Theory, Online Prediction and Boosting
 PROCEEDINGS OF THE NINTH ANNUAL CONFERENCE ON COMPUTATIONAL LEARNING THEORY
, 1996
"... We study the close connections between game theory, online prediction and boosting. After a brief review of game theory, we describe an algorithm for learning to play repeated games based on the online prediction methods of Littlestone and Warmuth. The analysis of this algorithm yields a simple pr ..."
Abstract

Cited by 159 (15 self)
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We study the close connections between game theory, online prediction and boosting. After a brief review of game theory, we describe an algorithm for learning to play repeated games based on the online prediction methods of Littlestone and Warmuth. The analysis of this algorithm yields a simple
Online predictive linear regression
, 2008
"... Gauss linear model; independent identically distributed observations; multivariate analysis; online protocol; prequential statistics; regression We consider the online predictive version of the standard problem of linear regression; the goal is to predict each consecutive response given the corres ..."
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Cited by 4 (2 self)
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Gauss linear model; independent identically distributed observations; multivariate analysis; online protocol; prequential statistics; regression We consider the online predictive version of the standard problem of linear regression; the goal is to predict each consecutive response given
Game Theory, Online Prediction and Boosting
"... We study the close connections between game theory, online prediction and boosting. After a brief review of game theory, we describe an algorithm for learning to play repeated games based on the online prediction methods of Littlestone and Warmuth. The analysis of this algorithm yields a simple pr ..."
Abstract
 Add to MetaCart
We study the close connections between game theory, online prediction and boosting. After a brief review of game theory, we describe an algorithm for learning to play repeated games based on the online prediction methods of Littlestone and Warmuth. The analysis of this algorithm yields a simple
Game Theory, Online Prediction and Boosting
"... We study the close connections between game theory, online prediction and boosting. After a brief review of game theory, we describe an algorithm for learning to play repeated games based on the online prediction methods of Littlestone and Warmuth. The analysis of this algorithm yields a simple pr ..."
Abstract
 Add to MetaCart
We study the close connections between game theory, online prediction and boosting. After a brief review of game theory, we describe an algorithm for learning to play repeated games based on the online prediction methods of Littlestone and Warmuth. The analysis of this algorithm yields a simple
Metric entropy in competitive online prediction
, 2006
"... Competitive online prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way the observations are generated. The predictor’s goal is to compete with a benchmark class of prediction rules, which is ..."
Abstract

Cited by 3 (2 self)
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Competitive online prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way the observations are generated. The predictor’s goal is to compete with a benchmark class of prediction rules, which
Online Prediction and Conversion Strategies
 Machine Learning
, 1994
"... We study the problem of deterministically predicting boolean values by combining the boolean predictions... ..."
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Cited by 49 (17 self)
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We study the problem of deterministically predicting boolean values by combining the boolean predictions...
ONLINE PREDICTIVE LINEAR REGRESSION 1
, 906
"... We consider the online predictive version of the standard problem of linear regression; the goal is to predict each consecutive response given the corresponding explanatory variables and all the previous observations. The standard treatment of prediction in linear regression analysis has two drawba ..."
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We consider the online predictive version of the standard problem of linear regression; the goal is to predict each consecutive response given the corresponding explanatory variables and all the previous observations. The standard treatment of prediction in linear regression analysis has two
Online Predictive Load Shedding for Network Monitoring
"... Abstract. Building robust network monitoring applications is hard given the unpredictable nature of network traffic. Complex analysis on streaming network data usually leads to overload situations when presented with anomalous traffic, extreme traffic mixes or highly variable rates. We present an on ..."
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an online predictive load shedding scheme for monitoring systems that quickly reacts to overload situations by gracefully degrading the accuracy of analysis methods. The main novelty of our approach is that it does not require any knowledge of the monitoring applications. This way we preserve a high
Online Prediction Model of Ultrasonic Polishing Surface Roughness
"... Abstract. In order to solve the difficulty of online measuring the surface roughness of workpiece under ultrasonic polishing, the artificial neural networks and fuzzy logic systems are introduced into the online prediction model of surface roughness. The surface roughness identification method bas ..."
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Abstract. In order to solve the difficulty of online measuring the surface roughness of workpiece under ultrasonic polishing, the artificial neural networks and fuzzy logic systems are introduced into the online prediction model of surface roughness. The surface roughness identification method
Accurate Online Prediction of Processor and Memory Energy Usage Under Voltage Scaling
, 2016
"... Accurate online prediction of processor and memoryenergy usage under voltage scaling ..."
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Accurate online prediction of processor and memoryenergy usage under voltage scaling
Results 1  10
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1,129,817