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» Using Assumptions to Distribute CTL Model Checking
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IDA
2002
Springer
15 years 11 days ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
103
Voted
HT
2004
ACM
15 years 6 months ago
Hypertext versioning for embedded link models
In this paper, we describe Chrysant, a hypertext version control system for embedded link models. Chrysant provides generalpurpose versioning capability to hypertext systems with ...
Kai Pan, E. James Whitehead Jr., Guozheng Ge
SAC
2010
ACM
15 years 24 days ago
Graph-based verification of static program constraints
Software artifacts usually have static program constraints and these constraints should be satisfied in each reuse. In addition to this, the developers are also required to satisf...
Selim Ciraci, Pim van den Broek, Mehmet Aksit
91
Voted
ICML
2004
IEEE
16 years 1 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny
90
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Complete characterization of perfectly secure stego-systems with mutually independent embedding operation
Without any assumption on the cover source, this paper presents a complete characterization of all perfectly secure stego-systems that employ mutually independent embedding operat...
Tomás Filler, Jessica J. Fridrich