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» Agent-Enriched Data Mining Using an Extendable Framework
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FOSSACS
2005
Springer
14 years 2 months ago
A Computational Model for Multi-variable Differential Calculus
Abstract. We introduce a domain-theoretic computational model for multivariable differential calculus, which for the first time gives rise to data types for differentiable functio...
Abbas Edalat, André Lieutier, Dirk Pattinso...
SIGIR
2012
ACM
11 years 11 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
CASES
2009
ACM
14 years 3 months ago
A platform for developing adaptable multicore applications
Computer systems are resource constrained. Application adaptation is a useful way to optimize system resource usage while satisfying the application performance constraints. Previ...
Dan Fay, Li Shang, Dirk Grunwald
ISVC
2007
Springer
14 years 2 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
ENVSOFT
2007
127views more  ENVSOFT 2007»
13 years 8 months ago
River model calibration, from guidelines to operational support tools
Numerical modelling is now used routinely to make predictions about the behaviour of environmental systems. Model calibration remains a critical step in the modelling process and ...
Jean-Philippe Vidal, Sabine Moisan, Jean-Baptiste ...