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» Dimensions of machine learning in design
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NCA
2010
IEEE
13 years 7 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet
ALT
2003
Springer
14 years 24 days ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
MANSCI
2006
180views more  MANSCI 2006»
13 years 9 months ago
Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution
This paper presents a new information acquisition problem motivated by business applications where customer data has to be acquired with a specific modeling objective in mind. In ...
Zhiqiang Zheng, Balaji Padmanabhan
ACMICEC
2006
ACM
157views ECommerce» more  ACMICEC 2006»
14 years 3 months ago
Adaptive mechanism design: a metalearning approach
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
David Pardoe, Peter Stone, Maytal Saar-Tsechansky,...
IROS
2009
IEEE
177views Robotics» more  IROS 2009»
14 years 3 months ago
A learning approach to integration of layers of a hybrid control architecture
— Hybrid deliberative-reactive control architectures are a popular and effective approach to the control of robotic navigation applications. However, the design of said architect...
Matthew Powers, Tucker R. Balch