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ICONIP
2007
14 years 6 days ago
Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise
Abstract. In neural networks, network faults can be exhibited in different forms, such as node fault and weight fault. One kind of weight faults is due to the hardware or software ...
Chi-Sing Leung, Pui-Fai Sum, Tien-Tsin Wong
NIPS
1998
14 years 3 days ago
A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory
This paper presents a novel and fast k-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM in...
Ping Zhou, Jim Austin, John Kennedy
MP
2007
89views more  MP 2007»
13 years 10 months ago
Globally convergent limited memory bundle method for large-scale nonsmooth optimization
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) functions of thousands of variables. In the paper [Haarala, Miettinen, M¨akel¨a,...
Napsu Haarala, Kaisa Miettinen, Marko M. Mäke...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
14 years 2 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
LCPC
2005
Springer
14 years 4 months ago
Applying Data Copy to Improve Memory Performance of General Array Computations
Abstract. Data copy is an important compiler optimization which dynamically rearranges the layout of arrays by copying their elements into local buffers. Traditionally, array copy...
Qing Yi