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ICASSP
2009
IEEE
15 years 10 months ago
Incremental predictive and adaptive noise compensation
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-re...
Federico Flego, Mark J. F. Gales
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 years 10 months ago
Bandit-Based Algorithms for Budgeted Learning
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...
HPCC
2007
Springer
15 years 10 months ago
Parallel Performance Prediction for Multigrid Codes on Distributed Memory Architectures
We propose a model for describing the parallel performance of multigrid software on distributed memory architectures. The goal of the model is to allow reliable predictions to be m...
Giuseppe Romanazzi, Peter K. Jimack
104
Voted
ICTAI
2002
IEEE
15 years 9 months ago
Adjusted Network Flow for the Shelf-Space Allocation Problem
In this paper, we study shelf space allocation optimization which is important to retail operations management. Our approach is to formulate a model that is applicable to operatio...
Andrew Lim, Brian Rodrigues, Fei Xiao, Xingwen Zha...
NIPS
2007
15 years 5 months ago
Markov Chain Monte Carlo with People
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
Adam Sanborn, Thomas L. Griffiths