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NIPS
2007
15 years 19 days ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
CORR
2010
Springer
124views Education» more  CORR 2010»
14 years 11 months ago
Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...
CORR
2010
Springer
126views Education» more  CORR 2010»
14 years 11 months ago
The Use of Probabilistic Systems to Mimic the Behaviour of Idiotypic AIS Robot Controllers
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...
JMLR
2012
13 years 1 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
ICDT
2005
ACM
131views Database» more  ICDT 2005»
15 years 4 months ago
Algorithms for the Database Layout Problem
We present a formal analysis of the database layout problem, i.e., the problem of determining how database objects such as tables and indexes are assigned to disk drives. Optimizin...
Gagan Aggarwal, Tomás Feder, Rajeev Motwani...