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ALT
2007
Springer
15 years 11 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
ICDCS
2002
IEEE
15 years 7 months ago
A Practical Approach for ?Zero? Downtime in an Operational Information System
An Operational Information System (OIS) supports a real-time view of an organization’s information critical to its logistical business operations. A central component of an OIS ...
Ada Gavrilovska, Karsten Schwan, Van Oleson
ICML
2007
IEEE
16 years 3 months ago
Large-scale RLSC learning without agony
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
NCA
2003
IEEE
15 years 7 months ago
A Study of Providing Statistical QoS in a Differentiated Sevices Network
In this paper, we propose and analyze a methodology for providing statistical guarantees within the diffserv model in a network, that uses static-priority schedulers. We extend th...
Shengquan Wang, Dong Xuan, Riccardo Bettati, Wei Z...
148
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ECML
1998
Springer
15 years 6 months ago
Predicate Invention and Learning from Positive Examples Only
Previous bias shift approaches to predicate invention are not applicable to learning from positive examples only, if a complete hypothesis can be found in the given language, as ne...
Henrik Boström