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» Learning to Predict Rare Events in Event Sequences
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HPCA
2009
IEEE
14 years 8 months ago
Voltage emergency prediction: Using signatures to reduce operating margins
Inductive noise forces microprocessor designers to sacrifice performance in order to ensure correct and reliable operation of their designs. The possibility of wide fluctuations i...
Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. H...
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 8 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
BMCBI
2007
114views more  BMCBI 2007»
13 years 7 months ago
False occurrences of functional motifs in protein sequences highlight evolutionary constraints
Background: False occurrences of functional motifs in protein sequences can be considered as random events due solely to the sequence composition of a proteome. Here we use a nume...
Allegra Via, Pier Federico Gherardini, Enrico Ferr...
CAISE
2011
Springer
12 years 11 months ago
Supporting Dynamic, People-Driven Processes through Self-learning of Message Flows
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
Christoph Dorn, Schahram Dustdar
IJON
2007
73views more  IJON 2007»
13 years 7 months ago
Affordances, effectivities, and assisted imitation: Caregivers and the directing of attention
We focus on how infants’ discovery of a range of affordances and effectivities contributes to participating in a new activity. We emphasize how caregivers bracket ongoing action...
Patricia Zukow-Goldring, Michael A. Arbib