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» General Loss Bounds for Universal Sequence Prediction
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AAAI
1997
13 years 8 months ago
Worst-Case Absolute Loss Bounds for Linear Learning Algorithms
The absolute loss is the absolute difference between the desired and predicted outcome. I demonstrateworst-case upper bounds on the absolute loss for the perceptron algorithm and ...
Tom Bylander
COLT
2005
Springer
13 years 9 months ago
Data Dependent Concentration Bounds for Sequential Prediction Algorithms
Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...
Tong Zhang
RC
2007
128views more  RC 2007»
13 years 6 months ago
Bounds on Generalized Linear Predictors with Incomplete Outcome Data
This paper develops easily computed, tight bounds on Generalized Linear Predictors and instrumental variable estimators when outcome data are partially identi…ed. A salient exam...
Jörg Stoye
TIT
2002
95views more  TIT 2002»
13 years 7 months ago
On sequential strategies for loss functions with memory
The problem of optimal sequential decision for individual sequences, relative to a class of competing o -line reference strategies, is studied for general loss functions with memo...
Neri Merhav, Erik Ordentlich, Gadiel Seroussi, Mar...
DAM
1999
132views more  DAM 1999»
13 years 7 months ago
Data-dependent Bounds for the General and the Asymmetric Stacker-Crane Problems
The Stacker-Crane Problem (SCP) isa sequencing problem, arising inscheduling and transportation, that consists of nding the minimum cost cycle on a mixed graph with oriented arcs ...
Giovanni Righini, Marco Trubian