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» On the Learnability of Vector Spaces
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ALT
2003
Springer
14 years 4 days ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
MT
2006
95views more  MT 2006»
13 years 8 months ago
Finding translations for low-frequency words in comparable corpora
Abstract. The paper proposes a method to improve the extraction of lowfrequency translation equivalents from comparable corpora. Prior to performing the mapping between vector spac...
Viktor Pekar, Ruslan Mitkov, Dimitar Blagoev, Andr...
CAIP
2005
Springer
105views Image Analysis» more  CAIP 2005»
14 years 2 months ago
Recognition of Partially Occluded and Deformed Binary Objects
A method dealing with recognition of partially occluded and affine transformed binary objects is presented. The method is designed for objects with smooth curved boundary. It divi...
Ondrej Horácek, Jan Kamenický, Jan F...
AUTOMATICA
1999
64views more  AUTOMATICA 1999»
13 years 8 months ago
Spatial balanced model reduction for flexible structures
This paper considers the problem of balanced model reduction for a class of distributed parameter systems. The system is assumed to have a finite-dimensional state vector as well ...
S. O. Reza Moheimani, Hemanshu Roy Pota, Ian R. Pe...
COCOON
2005
Springer
14 years 2 months ago
A Quadratic Lower Bound for Rocchio's Similarity-Based Relevance Feedback Algorithm
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
Zhixiang Chen, Bin Fu