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» Verifying Quantitative Properties Using Bound Functions
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CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
15 years 2 months ago
On a small gain theorem for networks of iISS systems
— This paper considers networks consisting of integral input-to-state stable (iISS) subsystems and addresses the problem of verifying iISS property of a given network. First, we ...
Hiroshi Ito, Sergey Dashkovskiy, Fabian Wirth
IWANN
2001
Springer
15 years 2 months ago
The General Neural-Network Paradigm for Visual Cryptography
This paper proposes the general paradigm to build Q'tron neural networks (NNs) for visual cryptography. Given a visual encryption scheme, usually described using an access st...
Tai-Wen Yue, Suchen Chiang
NIPS
2008
14 years 11 months ago
On the Generalization Ability of Online Strongly Convex Programming Algorithms
This paper examines the generalization properties of online convex programming algorithms when the loss function is Lipschitz and strongly convex. Our main result is a sharp bound...
Sham M. Kakade, Ambuj Tewari
ML
2008
ACM
152views Machine Learning» more  ML 2008»
14 years 9 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
APWEB
2009
Springer
15 years 1 months ago
Ontology Evaluation through Text Classification
We present a new method to evaluate a search ontology, which relies on mapping ontology instances to textual documents. On the basis of this mapping, we evaluate the adequacy of on...
Yael Dahan Netzer, David Gabay, Meni Adler, Yoav G...