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FLAIRS
2007
13 years 10 months ago
Probabilistic Knowledge Processing and Remaining Uncertainty
Information is indispensable in preparing economic decisions purposefully. In this paper knowledge is represented by a probability distribution. Knowledge acquisition is realized ...
Elmar Reucher, Friedhelm Kulmann
DAARC
2007
Springer
86views Algorithms» more  DAARC 2007»
14 years 2 months ago
Evaluating Hybrid Versus Data-Driven Coreference Resolution
Abstract. In this paper, we present a systematic evaluation of a hybrid approach of combined rule-based filtering and machine learning to Dutch coreference resolution. Through the...
Iris Hendrickx, Véronique Hoste, Walter Dae...
EMNLP
2004
13 years 9 months ago
Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mar...
ICML
2008
IEEE
14 years 8 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
NIPS
2004
13 years 9 months ago
Joint MRI Bias Removal Using Entropy Minimization Across Images
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
Erik G. Learned-Miller, Parvez Ahammad