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» On the monotonization of the training set
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72
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ESANN
2006
15 years 2 months ago
Generalization properties of spiking neurons trained with ReSuMe method
In this paper we demonstrate the generalization property of spiking neurons trained with ReSuMe method. We show in a set of experiments that the learning neuron can approximate the...
Filip Ponulak, Andrzej J. Kasinski
91
Voted
IJON
2000
80views more  IJON 2000»
15 years 12 days ago
Synthesis approach for bidirectional associative memories based on the perceptron training algorithm
Bidirectional associative memories are being used extensively for solving a variety of problems related to pattern recognition. In the present paper, a new synthesis approach is d...
Ismail Salih, Stanley H. Smith, Derong Liu
125
Voted
MOBIHOC
2008
ACM
16 years 5 days ago
Efficient binary schemes for training heterogeneous sensor and actor networks
Sensor networks are expected to evolve into long-lived, autonomous networked systems whose main mission is to provide in-situ users ? called actors ? with real-time information in...
Ferruccio Barsi, Alfredo Navarra, Maria Cristina P...
130
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NIPS
2004
15 years 2 months ago
Co-Training and Expansion: Towards Bridging Theory and Practice
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
Maria-Florina Balcan, Avrim Blum, Ke Yang
88
Voted
NAACL
2010
14 years 10 months ago
Integrating Joint n-gram Features into a Discriminative Training Framework
Phonetic string transduction problems, such as letter-to-phoneme conversion and name transliteration, have recently received much attention in the NLP community. In the past few y...
Sittichai Jiampojamarn, Colin Cherry, Grzegorz Kon...