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ICML
2005
IEEE
16 years 4 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
APIN
2008
102views more  APIN 2008»
15 years 4 months ago
Approximation-based feature selection and application for algae population estimation
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
Qiang Shen, Richard Jensen
CEC
2010
IEEE
15 years 1 months ago
Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
ICMLA
2009
15 years 1 months ago
Alive on Back-feed Culprit Identification via Machine Learning
We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
131
Voted
WORDS
2005
IEEE
15 years 9 months ago
Towards Self-Healing Systems via Dependable Architecture and
Self-healing systems focus on how to reducing the complexity and cost of the management of dependability policies and mechanisms without human intervention. This position paper pr...
Hong Mei, Gang Huang, Wei-Tek Tsai