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» Probabilistic Neural Network Models for Sequential Data
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HYBRID
1998
Springer
14 years 3 days ago
High Order Eigentensors as Symbolic Rules in Competitive Learning
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
Hod Lipson, Hava T. Siegelmann
PERCOM
2007
ACM
14 years 7 months ago
Achieving Flexible Cache Consistency for Pervasive Internet Access
Caching is an important technique to support pervasive Internet access. Cache consistency measures the deviation between the cached data and the source data. In mobile computing e...
Yu Huang 0002, Jiannong Cao, Zhijun Wang, Beihong ...
ADHOCNOW
2005
Springer
14 years 1 months ago
Probability Distributions for Channel Utilisation
Sensor nets have many undisputed fields of application. A paradigm of communication is the use of one control channel in the MAC layer. We challenge this paradigm for nodes with v...
Christian Schindelhauer, Kerstin Voß
ICCV
2007
IEEE
14 years 9 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
ICML
2007
IEEE
14 years 8 months ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...