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» Learning Algorithms for Domain Adaptation
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CORR
2010
Springer
165views Education» more  CORR 2010»
15 years 6 months 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
KES
2004
Springer
15 years 12 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
171
Voted
ISSTA
2006
ACM
16 years 15 days 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...
TOG
2002
165views more  TOG 2002»
15 years 6 months 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
ICNP
1998
IEEE
15 years 10 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