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CACM
2011
120views more  CACM 2011»
13 years 6 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
JCISD
2002
63views more  JCISD 2002»
13 years 10 months ago
Prediction of Ultraviolet Spectral Absorbance Using Quantitative Structure-Property Relationships
High performance liquid chromatography (HPLC) with ultraviolet (UV) spectrophotometric detection is a common method for analyzing reaction products in organic chemistry. This proc...
William L. Fitch, Malcolm McGregor, Alan R. Katrit...
AUTOMATICA
2010
98views more  AUTOMATICA 2010»
13 years 10 months ago
Explicit use of probabilistic distributions in linear predictive control
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...
NAACL
2010
13 years 8 months ago
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions
We describe a method of incorporating taskspecific cost functions into standard conditional log-likelihood (CLL) training of linear structured prediction models. Recently introduc...
Kevin Gimpel, Noah A. Smith
IEAAIE
2010
Springer
13 years 8 months ago
Predicting the Development of Juvenile Delinquency by Simulation
A large number of delinquent activities are performed by adolescents and only occur during this period in their lives. One of the main factors that influence this behaviour is soci...
Tibor Bosse, Charlotte Gerritsen, Michel C. A. Kle...