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» Measuring the Dynamics of Artificial Evolution
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KDD
2007
ACM
149views Data Mining» more  KDD 2007»
14 years 7 months ago
Partial example acquisition in cost-sensitive learning
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
Victor S. Sheng, Charles X. Ling
CP
2007
Springer
14 years 1 months ago
Model-Driven Visualizations of Constraint-Based Local Search
Visualization is often invaluable to understand the behavior of optimization algorithms, identify their bottlenecks or pathological behaviors, and suggest remedial techniques. Yet ...
Grégoire Dooms, Pascal Van Hentenryck, Laur...
ICAT
2003
IEEE
14 years 22 days ago
Head Motion Prediction in Augmented Reality Systems Using Monte Carlo Particle Filters
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...
TKDE
2008
158views more  TKDE 2008»
13 years 7 months ago
Hierarchical Clustering of Time-Series Data Streams
This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomera...
Pedro Pereira Rodrigues, João Gama, Jo&atil...
ALGORITHMICA
2011
12 years 11 months ago
Average Rate Speed Scaling
Speed scaling is a power management technique that involves dynamically changing the speed of a processor. This gives rise to dual-objective scheduling problems, where the operati...
Nikhil Bansal, David P. Bunde, Ho-Leung Chan, Kirk...