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» Averaging Expert Predictions
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STOC
1997
ACM
97views Algorithms» more  STOC 1997»
13 years 12 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
AAAI
2008
13 years 10 months ago
Online Learning with Expert Advice and Finite-Horizon Constraints
In this paper, we study a sequential decision making problem. The objective is to maximize the average reward accumulated over time subject to temporal cost constraints. The novel...
Branislav Kveton, Jia Yuan Yu, Georgios Theocharou...
CHI
2002
ACM
14 years 8 months ago
Statistical profiles of highly-rated web sites
We are creating an interactive tool to help non-professional web site builders create high quality designs. We have previously reported that quantitative measures of web page stru...
Melody Y. Ivory, Marti A. Hearst
COLT
2001
Springer
14 years 5 days ago
Tracking a Small Set of Experts by Mixing Past Posteriors
In this paper, we examine on-line learning problems in which the target concept is allowed to change over time. In each trial a master algorithm receives predictions from a large ...
Olivier Bousquet, Manfred K. Warmuth
ICDAR
2003
IEEE
14 years 28 days ago
Multi-Expert Verification of Hand-Written Signatures
This paper presents a multi-expert system for dynamic signature verification. The system uses a stroke-oriented description of signatures well-suited for multi-expert approach. Ea...
L. Bovino, Sebastiano Impedovo, Giuseppe Pirlo, L....