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» Perceptual Learning and Abstraction in Machine Learning
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KAIS
2006
121views more  KAIS 2006»
14 years 9 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara
KES
2006
Springer
14 years 9 months ago
The Repository Method for Chance Discovery in Financial Forecasting
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
Alma Lilia Garcia-Almanza, Edward P. K. Tsang
ML
2007
ACM
106views Machine Learning» more  ML 2007»
14 years 9 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
IUI
2012
ACM
13 years 5 months ago
Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images?
Recent computer vision approaches are aimed at richer image interpretations that extend the standard recognition of objects in images (e.g., cars) to also recognize object attribu...
William Curran, Travis Moore, Todd Kulesza, Weng-K...
ISDA
2009
IEEE
15 years 4 months ago
Improving Academic Performance Prediction by Dealing with Class Imbalance
Abstract—This paper introduces and compares some techniques used to predict the student performance at the university. Recently, researchers have focused on applying machine lear...
Nguyen Thai-Nghe, Andre Busche, Lars Schmidt-Thiem...