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BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
16 years 1 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy
AWCC
2004
Springer
16 years 2 days ago
Rule Discovery with Particle Swarm Optimization
Abstract. This paper proposes Particle Swarm Optimization (PSO) algorithm to discover classification rules. The potential IF-THEN rules are encoded into real-valued particles that...
Yu Liu, Qin Zheng, Zhewen Shi, Junying Chen
ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
16 years 1 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof
DSN
2005
IEEE
16 years 8 days ago
Probabilistic QoS Guarantees for Supercomputing Systems
Supercomputing systems must be able to reliably and efficiently complete their assigned workloads, even in the presence of failures. This paper proposes a system that allows the ...
Adam J. Oliner, Larry Rudolph, Ramendra K. Sahoo, ...
INTETAIN
2005
Springer
16 years 5 days ago
Grounding Emotions in Human-Machine Conversational Systems
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-act...
Giuseppe Riccardi, Dilek Z. Hakkani-Tür