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» Learning Algorithms for Domain Adaptation
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CORR
2010
Springer
165views Education» more  CORR 2010»
15 years 28 days ago
Online Learning: Beyond Regret
We study online learnability of a wide class of problems, extending the results of [26] to general notions of performance measure well beyond external regret. Our framework simult...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
117
Voted
KES
2004
Springer
15 years 6 months ago
Epistemic Logic and Planning
Artificial Intelligence algorithms can be divided into two groups according to the type of problems they solve. Knowledge-intensive domains contain explicit knowledge, whereas know...
Shahin Maghsoudi, Ian Watson
ISSTA
2006
ACM
15 years 6 months ago
Object distance and its application to adaptive random testing of object-oriented programs
Testing with random inputs can give surprisingly good results if the distribution of inputs is spread out evenly over the input domain; this is the intuition behind Adaptive Rando...
Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertr...
105
Voted
TOG
2002
165views more  TOG 2002»
15 years 14 days ago
CHARMS: a simple framework for adaptive simulation
Finite element solvers are a basic component of simulation applications; they are common in computer graphics, engineering, and medical simulations. Although adaptive solvers can ...
Eitan Grinspun, Petr Krysl, Peter Schröder
105
Voted
ICNP
1998
IEEE
15 years 5 months ago
Controlling Quality of Session in Adaptive Multimedia Multicast Systems
Controlling the quality of collaborative multimedia sessions, that deploy multiple media streams, is a challenging problem. In this paper, we present a framework for achieving qua...
Alaa Youssef, Hussein M. Abdel-Wahab, Kurt Maly