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104
Voted
DCC
2007
IEEE
16 years 3 days ago
Lossless Transmission of Correlated Sources over a Multiple Access Channel with Side Information
In this paper, we consider lossless transmission of arbitrarily correlated sources over a multiple access channel. Characterization of the achievable rates in the most general set...
Deniz Gündüz, Elza Erkip
127
Voted
ML
2010
ACM
181views Machine Learning» more  ML 2010»
14 years 11 months ago
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
David R. Hardoon, John Shawe-Taylor
107
Voted
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 1 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
110
Voted
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 2 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
88
Voted
KBSE
2009
IEEE
15 years 7 months ago
Code Completion from Abbreviated Input
—Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated inp...
Sangmok Han, David R. Wallace, Robert C. Miller