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CORR
2011
Springer
209views Education» more  CORR 2011»
14 years 6 months ago
Close the Gaps: A Learning-while-Doing Algorithm for a Class of Single-Product Revenue Management Problems
In this work, we consider a retailer selling a single product with limited on-hand inventory over a finite selling season. Customer demand arrives according to a Poisson process,...
Zizhuo Wang, Shiming Deng, Yinyu Ye
IJCNN
2007
IEEE
15 years 8 months ago
Risk Assessment Algorithms Based on Recursive Neural Networks
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
Alejandro Chinea Manrique De Lara, Michel Parent
PAMI
2007
118views more  PAMI 2007»
15 years 1 months ago
Learning to Transform Time Series with a Few Examples
We describe a semi-supervised regression algorithm that learns to transform one time series into another time series given examples of the transformation. This algorithm is applie...
Ali Rahimi, Ben Recht, Trevor Darrell
DIS
2006
Springer
15 years 6 months ago
Kalman Filters and Adaptive Windows for Learning in Data Streams
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
Albert Bifet, Ricard Gavaldà
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 8 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu