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» Deep Inference and Its Normal Form of Derivations
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CIE
2006
Springer
13 years 8 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 6 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 3 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»
12 years 11 months 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
13 years 11 months 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...