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BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
14 years 2 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
ISQED
2008
IEEE
103views Hardware» more  ISQED 2008»
14 years 2 months ago
Modeling of NBTI-Induced PMOS Degradation under Arbitrary Dynamic Temperature Variation
Negative bias temperature instability (NBTI) is one of the primary limiters of reliability lifetime in nano-scale integrated circuits. NBTI manifests itself in a gradual increase ...
Bin Zhang, Michael Orshansky
SIGCOMM
2006
ACM
14 years 2 months ago
Measurement-based models of delivery and interference in static wireless networks
We present practical models for the physical layer behaviors of packet reception and carrier sense with interference in static wireless networks. These models use measurements of ...
Charles Reis, Ratul Mahajan, Maya Rodrig, David We...
IMC
2004
ACM
14 years 1 months ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul
ALT
2000
Springer
13 years 12 months ago
Computationally Efficient Transductive Machines
In this paper1 we propose a new algorithm for providing confidence and credibility values for predictions on a multi-class pattern recognition problem which uses Support Vector mac...
Craig Saunders, Alexander Gammerman, Volodya Vovk