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EMNLP
2010
13 years 8 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
ICCS
2003
Springer
14 years 4 months ago
A Compiler Approach to Performance Prediction Using Empirical-Based Modeling
Abstract. Performance understanding and prediction are extremely important goals for guiding the application of program optimizations or in helping programmers focus their efforts...
Pedro C. Diniz
IAT
2010
IEEE
13 years 8 months ago
An Agent Model for Analysis of Human Performance Quality
-- A human's performance in a complex task is highly dependent on the demands of the task, in the sense that highly demanding situations will often cause a degradation of perf...
Michel C. A. Klein, Rianne van Lambalgen, Jan Treu...
CCGRID
2009
IEEE
14 years 5 months ago
Performance under Failures of DAG-based Parallel Computing
— As the scale and complexity of parallel systems continue to grow, failures become more and more an inevitable fact for solving large-scale applications. In this research, we pr...
Hui Jin, Xian-He Sun, Ziming Zheng, Zhiling Lan, B...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 4 months ago
Inducing a generative expressive performance model using a sequential-covering genetic algorithm
In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. We begin with a collection of audio recordin...
Rafael Ramirez, Amaury Hazan