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IJON
2010
140views more  IJON 2010»
15 years 5 months ago
Multi-task preference learning with an application to hearing aid personalization
We present an EM-algorithm for the problem of learning preferences with Gaussian processes in the context of multi-task learning. We validate our approach on an audiological data ...
Adriana Birlutiu, Perry Groot, Tom Heskes
AAAI
2012
13 years 9 months ago
Online Sequence Alignment for Real-Time Audio Transcription by Non-Experts
Real-time transcription provides deaf and hard of hearing people visual access to spoken content, such as classroom instruction, and other live events. Currently, the only reliabl...
Walter S. Lasecki, Christopher D. Miller, Donato B...
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
16 years 11 days ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
FSTTCS
2005
Springer
16 years 8 days ago
Practical Algorithms for Tracking Database Join Sizes
We present novel algorithms for estimating the size of the natural join of two data streams that have efficient update processing times and provide excellent quality of estimates....
Sumit Ganguly, Deepanjan Kesh, Chandan Saha
SAT
2005
Springer
115views Hardware» more  SAT 2005»
16 years 7 days ago
Improved Exact Solvers for Weighted Max-SAT
We present two new branch and bound weighted Max-SAT solvers (Lazy and Lazy ) which incorporate original data structures and inference rules, and a lower bound of better quality.
Teresa Alsinet, Felip Manyà, Jordi Planes