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» Deep Inference and Its Normal Form of Derivations
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CIE
2006
Springer
13 years 9 months ago
Deep Inference and Its Normal Form of Derivations
Abstract. We see a notion of normal derivation for the calculus of structures, which is based on a factorisation of derivations and which is more general than the traditional notio...
Kai Brünnler
AIML
2006
13 years 7 months ago
Deep Sequent Systems for Modal Logic
We see a systematic set of cut-free axiomatisations for all the basic normal modal logics formed by some combination the axioms d, t, b, 4, 5. They employ a form of deep inference ...
Kai Brünnler
MA
2010
Springer
114views Communications» more  MA 2010»
13 years 4 months ago
Finite-sample inference with monotone incomplete multivariate normal data, II
We continue our recent work on finite-sample, i.e., non-asymptotic, inference with two-step, monotone incomplete data from Nd(µ, Σ), a multivariate normal population with mean ...
Wan-Ying Chang, Donald St. P. Richards
TWC
2011
231views more  TWC 2011»
13 years 21 days ago
An Accurate Closed-Form Approximation of the Distributed MIMO Outage Probability
— The mutual information (MI) of multiple-input multiple-output (MIMO) system over Rayleigh fading channel is known to asymptotically follow a normal probability distribution. In...
Fabien Heliot, Reza Hoshyar, Rahim Tafazolli
ICTAI
2008
IEEE
14 years 5 days ago
Information Extraction as an Ontology Population Task and Its Application to Genic Interactions
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
Alain-Pierre Manine, Érick Alphonse, Philip...