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» On higher-order perceptron algorithms
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PE
2010
Springer
138views Optimization» more  PE 2010»
13 years 8 months ago
Trace data characterization and fitting for Markov modeling
We propose a trace fitting algorithm for Markovian Arrival Processes (MAPs) that can capture statistics of any order of interarrival times between measured events. By studying re...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni
IJCNN
2006
IEEE
14 years 3 months ago
Optimal In-Place Learning and the Lobe Component Analysis
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...
Juyang Weng, Nan Zhang 0002
ISQED
2007
IEEE
127views Hardware» more  ISQED 2007»
14 years 4 months ago
Sensitivity Based Link Insertion for Variation Tolerant Clock Network Synthesis
Clock distribution is one of the key limiting factors in any high speed, sub-100nm VLSI design. Unwanted clock skews, caused by variation effects like manufacturing variations, po...
Joon-Sung Yang, Anand Rajaram, Ninghy Shi, Jian Ch...
BMCBI
2007
183views more  BMCBI 2007»
13 years 9 months ago
Considerations in the identification of functional RNA structural elements in genomic alignments
Background: Accurate identification of novel, functional noncoding (nc) RNA features in genome sequence has proven more difficult than for exons. Current algorithms identify and s...
Tomas Babak, Benjamin J. Blencowe, Timothy R. Hugh...
ICPR
2006
IEEE
14 years 10 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...