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EMMCVPR
2005
Springer
16 years 10 days ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
ACII
2005
Springer
16 years 8 days ago
Pronunciation Learning and Foreign Accent Reduction by an Audiovisual Feedback System
Abstract. Global integration and migration force people to learn additional languages. With respect to major languages, the acquisition is already initiated at primary school but a...
Oliver Jokisch, Uwe Koloska, Diane Hirschfeld, R&u...
FSTTCS
2004
Springer
16 years 6 days ago
Learning Languages from Positive Data and a Finite Number of Queries
A computational model for learning languages in the limit from full positive data and a bounded number of queries to the teacher (oracle) is introduced and explored. Equivalence, ...
Sanjay Jain, Efim B. Kinber
AIED
2009
Springer
15 years 11 months ago
Towards Automatic Assessment for Project Based Learning Groups
Project course instructors routinely perform their formal assessments based on impressions formed from their mostly indirect experience with the groups they oversee. Nevertheless, ...
Gahgene Gweon, Rohit Kumar, Soojin Jun, Carolyn Pe...
178
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BICOB
2009
Springer
15 years 11 months ago
A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants
Protein phosphorylation is a crucial regulatory mechanism in various organisms. With recent improvements in mass spectrometry, phosphorylation site data are rapidly accumulating. D...
Jianjiong Gao, Ganesh Kumar Agrawal, Jay J. Thelen...