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AAAI
2006
15 years 1 months ago
Preference Elicitation and Generalized Additive Utility
Any automated decision support software must tailor its actions or recommendations to the preferences of different users. Thus it requires some representation of user preferences ...
Darius Braziunas, Craig Boutilier
IDEAL
2004
Springer
15 years 5 months ago
Summarizing Time Series: Learning Patterns in 'Volatile' Series
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
Saif Ahmad, Tugba Taskaya-Temizel, Khurshid Ahmad
IDEAL
2005
Springer
15 years 5 months ago
Neural Networks: A Replacement for Gaussian Processes?
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
Matthew Lilley, Marcus R. Frean
AAAI
2008
15 years 2 months ago
POIROT - Integrated Learning of Web Service Procedures
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
CIMCA
2008
IEEE
15 years 6 months ago
Seller's Strategies for Predicting Winning Bid Prices in Online Auctions
Online auctions have become extremely popular in recent years. Ability to predict winning bid prices accurately can help bidders to maximize their profit. This paper proposes a nu...
Yevgeniya Kovalchuk