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AAAI
2012
13 years 23 hour ago
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
74
Voted
SARA
2005
Springer
15 years 3 months ago
Feature-Discovering Approximate Value Iteration Methods
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
Jia-Hong Wu, Robert Givan
86
Voted
ICPR
2000
IEEE
15 years 2 months ago
Oscillating Search Algorithms for Feature Selection
A new sub-optimal subset search method for feature selection is introduced. As opposed to other till now known subset selection methods the oscillating search is not dependent on ...
Petr Somol, Pavel Pudil
72
Voted
INTERSPEECH
2010
14 years 4 months ago
The role of higher-level linguistic features in HMM-based speech synthesis
We analyse the contribution of higher-level elements of the linguistic specification of a data-driven speech synthesiser to the naturalness of the synthetic speech which it genera...
Oliver Watts, Junichi Yamagishi, Simon King
FLAIRS
2006
14 years 11 months ago
Combining Visualization and Feedback for Eyewear Recommendation
The importance of effective customer assistance technologies is imperative in today's online marketplace where users are oftentimes overwhelmed by the product choices availab...
John Doody, Edwin Costello, Lorraine McGinty, Barr...