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» Generality Is Predictive of Prediction Accuracy
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CACM
2011
120views more  CACM 2011»
15 years 1 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...
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
16 years 1 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
15 years 8 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
JCST
2007
151views more  JCST 2007»
15 years 6 months ago
Indexing Future Trajectories of Moving Objects in a Constrained Network
Abstract Advances in wireless sensor networks and positioning technologies enable new applications monitoring moving objects. Some of these applications, such as traffic managemen...
Ji-Dong Chen, Xiao-Feng Meng
BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...