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IS
2008
14 years 11 months ago
Mining relational data from text: From strictly supervised to weakly supervised learning
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Zhu Zhang
CSL
2005
Springer
15 years 5 months ago
Computing with Sequences, Weak Topologies and the Axiom of Choice
We study computability on sequence spaces, as they are used in functional analysis. It is known that non-separable normed spaces cannot be admissibly represented on Turing machines...
Vasco Brattka, Matthias Schröder
CORR
2010
Springer
114views Education» more  CORR 2010»
14 years 10 months ago
On weakly optimal partitions in modular networks
Abstract. Modularity was introduced as a measure of goodness for the community structure induced by a partition of the set of vertices in a graph. Then, it also became an objective...
José Ignacio Alvarez-Hamelin, Beiró ...
ECCV
2004
Springer
16 years 1 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
CDC
2009
IEEE
161views Control Systems» more  CDC 2009»
15 years 4 months ago
Network structure preserving model reduction with weak a priori structural information
— This paper extends a state projection method for structure preserving model reduction to situations where only a weaker notion of system structure is available. This weaker not...
Enoch Yeung, Jorge M. Goncalves, Henrik Sandberg, ...