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15 years 2 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
ICALP
2007
Springer
15 years 7 months ago
Continuous Capacities on Continuous State Spaces
We propose axiomatizing some stochastic games, in a continuous state space setting, using continuous belief functions, resp. plausibilities, instead of measures. Then, stochastic g...
Jean Goubault-Larrecq
AUTOMATICA
2008
134views more  AUTOMATICA 2008»
15 years 1 months ago
Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems
In this work, probabilistic reachability over a finite horizon is investigated for a class of discrete time stochastic hybrid systems with control inputs. A suitable embedding of ...
Alessandro Abate, Maria Prandini, John Lygeros, Sh...
AAAI
2004
15 years 2 months ago
PROBCONS: Probabilistic Consistency-Based Multiple Alignment of Amino Acid Sequences
Obtaining an accurate multiple alignment of protein sequences is a difficult computational problem for which many heuristic techniques sacrifice optimality to achieve reasonable r...
Chuong B. Do, Michael Brudno, Serafim Batzoglou
WFLP
2009
Springer
277views Algorithms» more  WFLP 2009»
15 years 8 months ago
Termination of Context-Sensitive Rewriting with Built-In Numbers and Collection Data Structures
Context-sensitive rewriting is a restriction of rewriting that can be used to elegantly model declarative specification and programming languages such as Maude. Furthermore, it ca...
Stephan Falke, Deepak Kapur