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BIOCOMP
2006
14 years 11 months ago
Acceleration of Covariance Models for Non-coding RNA Search
Stochastic context-free grammar (SCFG) based models for non-coding RNA (ncRNA) gene searches are much more powerful than regular grammar based models due to the ability to model in...
Scott F. Smith 0002
ML
2008
ACM
150views Machine Learning» more  ML 2008»
14 years 9 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
99
Voted
CORR
2011
Springer
171views Education» more  CORR 2011»
14 years 4 months ago
Persistent Robotic Tasks: Monitoring and Sweeping in Changing Environments
—We present controllers that enable mobile robots to persistently monitor or sweep a changing environment. The changing environment is modeled as a field which grows in location...
Stephen L. Smith, Mac Schwager, Daniela Rus
ASPLOS
2009
ACM
15 years 1 months ago
Efficient online validation with delta execution
Software systems are constantly changing. Patches to fix bugs and patches to add features are all too common. Every change risks breaking a previously working system. Hence admini...
Joseph Tucek, Weiwei Xiong, Yuanyuan Zhou
FOCS
2005
IEEE
15 years 3 months ago
How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...