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WSC
2004
15 years 7 months ago
Dependence Modeling for Stochastic Simulation
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
Bahar Biller, Soumyadip Ghosh
FOCM
2006
50views more  FOCM 2006»
15 years 5 months ago
Online Learning Algorithms
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
Steve Smale, Yuan Yao
CORR
2002
Springer
94views Education» more  CORR 2002»
15 years 5 months ago
Self-Optimizing and Pareto-Optimal Policies in General Environments based on Bayes-Mixtures
The problem of making sequential decisions in unknown probabilistic environments is studied. In cycle t action yt results in perception xt and reward rt, where all quantities in g...
Marcus Hutter
JAT
2011
81views more  JAT 2011»
15 years 24 days ago
Polynomial reproduction for univariate subdivision schemes of any arity
In this paper we study the ability of convergent subdivision schemes to reproduce polynomials in the sense that for initial data, which is sampled from some polynomial function, t...
Costanza Conti, Kai Hormann
CHI
2007
ACM
16 years 6 months ago
Momento: support for situated ubicomp experimentation
We present the iterative design of Momento, a tool that provides integrated support for situated evaluation of ubiquitous computing applications. We derived requirements for Momen...
Scott Carter, Jennifer Mankoff, Jeffrey Heer