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» Perceptual Learning and Abstraction in Machine Learning
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FASE
2008
Springer
14 years 11 months ago
Regular Inference for State Machines Using Domains with Equality Tests
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
Therese Berg, Bengt Jonsson, Harald Raffelt
ICNC
2005
Springer
15 years 3 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
DAC
2003
ACM
15 years 10 months ago
Support vector machines for analog circuit performance representation
The use of Support Vector Machines (SVMs) to represent the performance space of analog circuits is explored. In abstract terms, an analog circuit maps a set of input design parame...
Fernando De Bernardinis, Michael I. Jordan, Albert...
IWANN
1999
Springer
15 years 2 months ago
Support Vector Machines for Multi-class Classification
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
Eddy Mayoraz, Ethem Alpaydin
ICCPOL
2009
Springer
15 years 4 months ago
Lexicalized Syntactic Reordering Framework for Word Alignment and Machine Translation
Abstract. We propose a lexicalized syntactic reordering framework for crosslanguage word aligning and translating researches. In this framework, we first flatten hierarchical sourc...
Chung-Chi Huang, Wei-Teh Chen, Jason S. Chang