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TSMC
2008
99views more  TSMC 2008»
13 years 9 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
LISP
2007
112views more  LISP 2007»
13 years 9 months ago
Axioms for control operators in the CPS hierarchy
A CPS translation is a syntactic translation of programs, which is useful for describing their operational behavior. By iterating the standard callby-value CPS translation, Danvy a...
Yukiyoshi Kameyama
ASC
2004
13 years 9 months ago
Evaluation of services using a fuzzy analytic hierarchy process
This paper proposes a new approach for tackling the uncertainty and imprecision of the service evaluation process. Identifying suitable service offers, evaluating the offers and c...
Ludmil Mikhailov, Petco E. Tsvetinov
CORR
2004
Springer
140views Education» more  CORR 2004»
13 years 9 months ago
Integrating Defeasible Argumentation and Machine Learning Techniques
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Sergio Alejandro Gómez, Carlos Iván ...
AIM
2000
13 years 9 months ago
Probabilistic Algorithms in Robotics
This article describes a methodology for programming robots known as probabilistic robotics. The probabilistic paradigm pays tribute to the inherent uncertainty in robot perceptio...
Sebastian Thrun
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