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» On the Learnability of Vector Spaces
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EMNLP
2006
14 years 11 months ago
Random Indexing using Statistical Weight Functions
Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Inde...
James Gorman, James R. Curran
NIPS
2001
14 years 11 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
TREC
2004
14 years 11 months ago
TREC 2004 Genomics Track Experiments at IUB
This paper describes the methods we developed for the three tasks of the TREC Genomics Track, i.e., ad hoc retrieval, triage, and annotation tasks. For the ad hoc retrieval task, ...
Kazuhiro Seki, James C. Costello, Vasanth R. Singa...
CORR
2010
Springer
89views Education» more  CORR 2010»
14 years 10 months ago
Involutive Categories and Monoids, with a GNS-correspondence
This paper develops the basics of the theory of involutive categories and shows that such categories provide the natural setting in which to describe involutive monoids. It is sho...
Bart Jacobs
CORR
2008
Springer
102views Education» more  CORR 2008»
14 years 10 months ago
On some deterministic dictionaries supporting sparsity
We describe a new construction of an incoherent dictionary, referred to as the oscillator dictionary, which is based on considerations in the representation theory of finite groups...
Shamgar Gurevich, Ronny Hadani, Nir A. Sochen