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CICLING
2006
Springer
14 years 17 days ago
A General and Multi-lingual Phrase Chunking Model Based on Masking Method
Several phrase chunkers have been proposed over the past few years. Some state-of-the-art chunkers achieved better performance via integrating external resources, e.g., parsers and...
Yu-Chieh Wu, Chia-Hui Chang, Yue-Shi Lee
ICIAP
2005
ACM
14 years 9 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
ICIP
2004
IEEE
14 years 10 months ago
Data hiding using trellis coded quantization
Information theoretic tools lead to the design and analysis of new blind data hiding methods. A novel quantizationbased blind method, which uses trellis coded quantization, is pro...
Ersin Esen, A. Aydin Alatan
JMLR
2011
192views more  JMLR 2011»
13 years 3 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
CIKM
2011
Springer
12 years 8 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke