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PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
16 years 1 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
ISCAS
2005
IEEE
124views Hardware» more  ISCAS 2005»
16 years 9 days ago
High-order single-loop double-sampling sigma-delta modulator topologies for broadband applications
This paper presents novel low-voltage high order single loop sigma-delta modulator structures for wideband applications. The proposed architectures employ the technique of double-...
Mohammad Yavari, Omid Shoaei
CCECE
2009
IEEE
15 years 12 months ago
Experimental validation of statistical algorithm for diagnosis of damage fault
A statistical algorithm was developed for the damage fault diagnosis and prognosis tool and the present work focuses on the experimental validation. The oxide scale growth experim...
Amar Kumar, Amiya Nayak, Alka Srivastava, Nita Goe...
GRAPHICSINTERFACE
2007
15 years 8 months ago
Optimized tile-based texture synthesis
One significant problem in tile-based texture synthesis is the presence of conspicuous seams in the tiles. The reason is that the sample patches employed as primary patterns of t...
Weiming Dong, Ning Zhou, Jean-Claude Paul
NIPS
2007
15 years 8 months ago
A general agnostic active learning algorithm
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni