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» Iterative Improvement of Neural Classifiers
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146
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KDD
2006
ACM
191views Data Mining» more  KDD 2006»
16 years 4 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
123
Voted
BMCBI
2007
118views more  BMCBI 2007»
15 years 3 months ago
A topological algorithm for identification of structural domains of proteins
Background: Identification of the structural domains of proteins is important for our understanding of the organizational principles and mechanisms of protein folding, and for ins...
Frank Emmert-Streib, Arcady R. Mushegian
137
Voted
ICML
2004
IEEE
16 years 4 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
140
Voted
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
156
Voted
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 10 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...