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CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
15 years 10 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
EMNLP
2006
15 years 6 months ago
Exploiting Discourse Structure for Spoken Dialogue Performance Analysis
In this paper we study the utility of discourse structure for spoken dialogue performance modeling. We experiment with various ways of exploiting the discourse structure: in isola...
Mihai Rotaru, Diane J. Litman
NIPS
2004
15 years 6 months ago
An Information Maximization Model of Eye Movements
We propose a sequential information maximization model as a general strategy for programming eye movements. The model reconstructs high-resolution visual information from a sequen...
Laura Walker Renninger, James M. Coughlan, Preeti ...
CSDA
2004
129views more  CSDA 2004»
15 years 4 months ago
Gaussian process for nonstationary time series prediction
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
Sofiane Brahim-Belhouari, Amine Bermak
BMCBI
2004
133views more  BMCBI 2004»
15 years 4 months ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy