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ESANN
2008
13 years 11 months ago
Word recognition and incremental learning based on neural associative memories and hidden Markov models
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
Zöhre Kara Kayikci, Günther Palm
ICANN
2009
Springer
14 years 2 months ago
Learning Complex Population-Coded Sequences
The sequential structure of complex actions is apparently at an abstract “cognitive” level in several regions of the frontal cortex, independent of the control of the immediate...
Kiran V. Byadarhaly, Mithun Perdoor, Suresh Vasa, ...
IIE
2006
108views more  IIE 2006»
13 years 9 months ago
Towards the Information Society - the Case of Finnnish Teacher Education
Abstract. The use of Information and Communication Technology (ICT) in education is one important competence that student teacher should develop in their academic studies. To be ca...
Johani Rautopuro, Susanna Pöntinen, Jari Kukk...
CVIU
2004
132views more  CVIU 2004»
13 years 9 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
ACL
2009
13 years 7 months ago
Paraphrase Recognition Using Machine Learning to Combine Similarity Measures
This paper presents three methods that can be used to recognize paraphrases. They all employ string similarity measures apshallow abstractions of the input sentences, and a Maximu...
Prodromos Malakasiotis