Sciweavers

233 search results - page 24 / 47
» Learning Regular Expressions from Noisy Sequences
Sort
View
FUIN
2008
108views more  FUIN 2008»
14 years 9 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
99
Voted
ISMB
2000
15 years 14 days 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...
ASIAN
2003
Springer
102views Algorithms» more  ASIAN 2003»
15 years 4 months ago
Generating Optimal Linear Temporal Logic Monitors by Coinduction
Abstract. A coinduction-based technique to generate an optimal monitor from a Linear Temporal Logic (LTL) formula is presented in this paper. Such a monitor receives a sequence of ...
Koushik Sen, Grigore Rosu, Gul Agha
ALT
1998
Springer
15 years 3 months ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
CVPR
2000
IEEE
16 years 1 months ago
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...
Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, T...