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» Predicting Effectiveness of Automatic Testing Tools
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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
15 years 10 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
NIPS
2007
14 years 11 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
EVOW
2009
Springer
14 years 7 months ago
Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective
One of the purposes of Systems Biology is the quantitative modeling of biochemical networks. In this effort, the use of dynamical mathematical models provides for powerful tools in...
Pedro Evangelista, Isabel Rocha, Eugénio C....
EICS
2009
ACM
15 years 2 months ago
Adapting ubicomp software and its evaluation
We describe work in progress on tools and infrastructure to support adaptive component-based software for mobile devices— in our case, Apple iPhones. Our high level aim is ‘de...
Malcolm Hall, Marek Bell, Alistair Morrison, Stuar...
ASPLOS
2010
ACM
15 years 4 months ago
ConMem: detecting severe concurrency bugs through an effect-oriented approach
Multicore technology is making concurrent programs increasingly pervasive. Unfortunately, it is difficult to deliver reliable concurrent programs, because of the huge and non-det...
Wei Zhang, Chong Sun, Shan Lu