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LICS
1997
IEEE
15 years 8 months ago
Towards a Mathematical Operational Semantics
We present a categorical theory of ‘well-behaved’ operational semantics which aims at complementing the established theory of domains and denotational semantics to form a cohe...
Daniele Turi, Gordon D. Plotkin
EMNLP
2007
15 years 5 months ago
Semi-Markov Models for Sequence Segmentation
In this paper, we study the problem of automatically segmenting written text into paragraphs. This is inherently a sequence labeling problem, however, previous approaches ignore t...
Qinfeng Shi, Yasemin Altun, Alex J. Smola, S. V. N...
CORR
2011
Springer
179views Education» more  CORR 2011»
14 years 11 months ago
Recovery of Sparsely Corrupted Signals
We investigate the recovery of signals exhibiting a sparse representation in a general (i.e., possibly redundant or incomplete) dictionary that are corrupted by additive noise adm...
Christoph Studer, Patrick Kuppinger, Graeme Pope, ...
ICPR
2006
IEEE
16 years 5 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 4 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...