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» Domain Adaptation of Maximum Entropy Language Models
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VLSISP
1998
111views more  VLSISP 1998»
13 years 7 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
BPSC
2009
150views Business» more  BPSC 2009»
13 years 5 months ago
Evolution of Business Process Models and Languages
: "The only constant is change" is an often cited phrase. We regard it as predominant for the area of process based information systems. In this paper we investigate how ...
Stefan Jablonski, Bernhard Volz, Sebastian Dornsta...
COLING
2002
13 years 7 months ago
Entering Text with a Four-Button Device
This paper presents the design of a text-entry device that requires only four buttons. Such a device is applicable as the text interface of portable machines and as an interface f...
Kumiko Tanaka-Ishii, Yusuke Inutsuka, Masato Takei...
CORR
2010
Springer
132views Education» more  CORR 2010»
13 years 2 months ago
Automated co-evolution of GMF editor models
Abstract. The Eclipse Graphical Modeling (GMF) Framework provides the major approach for implementing visual languages on top of the Eclipse platform. GMF relies on a family of mod...
Davide Di Ruscio, Ralf Lämmel, Alfonso Pieran...
EMNLP
2007
13 years 9 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner