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EPIA
2003
Springer
14 years 24 days ago
Adaptation to Drifting Concepts
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Gladys Castillo, João Gama, Pedro Medas
BMCBI
2008
107views more  BMCBI 2008»
13 years 7 months ago
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
Tommy S. Jørstad, Herman Midelfart, Atle M....
DATE
2004
IEEE
122views Hardware» more  DATE 2004»
13 years 11 months ago
Phase Coupled Code Generation for DSPs Using a Genetic Algorithm
The growing use of digital signal processors (DSPs) in embedded systems necessitates the use of optimizing compilers supporting special hardware features. Due to the irregular arc...
Markus Lorenz, Peter Marwedel
LREC
2010
200views Education» more  LREC 2010»
13 years 9 months ago
The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms
In this paper, we present the D-TUNA corpus, which is the first semantically annotated corpus of referring expressions in Dutch. Its primary function is to evaluate and improve th...
Ruud Koolen, Emiel Krahmer
SPEECH
2010
136views more  SPEECH 2010»
13 years 6 months ago
Robust speech recognition by integrating speech separation and hypothesis testing
Missing data methods attempt to improve robust speech recognition by distinguishing between reliable and unreliable data in the time-frequency domain. Such methods require a binar...
Soundararajan Srinivasan, DeLiang L. Wang