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BMCBI
2008
173views more  BMCBI 2008»
15 years 24 days ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
115
Voted
EC
2007
101views ECommerce» more  EC 2007»
15 years 20 days ago
Revisiting Negative Selection Algorithms
This paper reviews the progress of negative selection algorithms, an anomaly/change detection approach in Artificial Immune Systems (AIS). Following its initial model, we try to ...
Zhou Ji, Dipankar Dasgupta
100
Voted
JMLR
2006
123views more  JMLR 2006»
15 years 19 days ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
ECCV
2010
Springer
15 years 5 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
112
Voted
EDBT
2006
ACM
117views Database» more  EDBT 2006»
15 years 4 months ago
Model-Independent Schema and Data Translation
Abstract. We describe MIDST, an implementation of the model management operator ModelGen, which translates schemas from one model to another, for example from OO to SQL or from SQL...
Paolo Atzeni, Paolo Cappellari, Philip A. Bernstei...