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» Embedding Heterogeneous Data Using Statistical Models
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130
Voted
ICMB
2006
IEEE
132views Business» more  ICMB 2006»
15 years 8 months ago
Generating User Interfaces from CDISC ODM for Mobile Devices
Clinical studies are often conducted as multi-centered studies involving participants at different locations. Thus it becomes obvious that using mobile platforms and remote data e...
Guido M. de Melo, Jürgen Nagler-Ihlein, Micha...
126
Voted
ISCI
2008
137views more  ISCI 2008»
15 years 2 months ago
Stochastic dominance-based rough set model for ordinal classification
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
Wojciech Kotlowski, Krzysztof Dembczynski, Salvato...
MSS
2010
IEEE
120views Hardware» more  MSS 2010»
15 years 1 months ago
A critique of distributional analysis in the spatial model
Distributional analysis is widely used to study social choice in Euclidean models [35, 36, 1, 5, 11, 19, 8, 2, e.g]. This method assumes a continuum of voters distributed accordin...
Craig A. Tovey
117
Voted
INTERSPEECH
2010
14 years 9 months ago
VAD-measure-embedded decoder with online model adaptation
We previously proposed a decoding method for automatic speech recognition utilizing hypothesis scores weighted by voice activity detection (VAD)-measures. This method uses two Gau...
Tasuku Oonishi, Koji Iwano, Sadaoki Furui
NIPS
2004
15 years 4 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore