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» Learning Gaussian processes from multiple tasks
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116
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AIED
2009
Springer
15 years 10 months ago
Intelligent Tutoring Systems with Multiple Representations and Self-Explanation Prompts Support Learning of Fractions
Although a solid understanding of fractions is foundational in mathematics, the concept of fractions remains a challenging one. Previous research suggests that multiple graphical r...
Martina A. Rau, Vincent Aleven, Nikol Rummel
AAAI
2012
13 years 5 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
NAACL
2003
15 years 4 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
158
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EMNLP
2011
14 years 3 months ago
Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation
Previous work has shown that high quality phrasal paraphrases can be extracted from bilingual parallel corpora. However, it is not clear whether bitexts are an appropriate resourc...
Juri Ganitkevitch, Chris Callison-Burch, Courtney ...
113
Voted
CC
2005
Springer
108views System Software» more  CC 2005»
15 years 8 months ago
Task Partitioning for Multi-core Network Processors
Abstract. Network processors (NPs) typically contain multiple concurrent processing cores. State-of-the-art programming techniques for NPs are invariably low-level, requiring progr...
Robert Ennals, Richard Sharp, Alan Mycroft