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» Intelligent Selection of Language Model Training Data
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FLAIRS
2004
15 years 5 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
EMNLP
2009
15 years 1 months ago
Learning Term-weighting Functions for Similarity Measures
Measuring the similarity between two texts is a fundamental problem in many NLP and IR applications. Among the existing approaches, the cosine measure of the term vectors represen...
Wen-tau Yih
DATASCIENCE
2007
88views more  DATASCIENCE 2007»
15 years 3 months ago
Detecting Family Resemblance: Automated Genre Classification
This paper presents results in automated genre classification of digital documents in PDF format. It describes genre classification as an important ingredient in contextualising s...
Yunhyong Kim, Seamus Ross
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UM
2009
Springer
15 years 10 months ago
Non-intrusive Personalisation of the Museum Experience
Abstract. The vast amount of information presented in museums is often overwhelming to a visitor, making it difficult to select personally interesting exhibits. Advances in mobile...
Fabian Bohnert, Ingrid Zukerman
GPCE
2007
Springer
15 years 10 months ago
A type-centric framework for specifying heterogeneous, large-scale, component-oriented, architectures
Maintaining integrity, consistency, and enforcing conformance in architectures of large-scale systems requires specification and enforcement of many different forms of structural...
Georg Jung, John Hatcliff