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NIPS
2008
15 years 8 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
IQ
2007
15 years 8 months ago
When Interactive TV Meets Online Auction: A Study On Factors Affecting User Adoption
: This research has attempted to find the impact of information quality (IQ) and system quality (SQ) on users’ attitude to adopt the interactive TV based auction service. The pri...
Jaeheung Yoo, Imsook Ha, Junkyun Choi
NIPS
2007
15 years 8 months ago
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
A non–linear dynamic system is called contracting if initial conditions are forgotten exponentially fast, so that all trajectories converge to a single trajectory. We use contra...
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, ...
NIPS
2007
15 years 8 months ago
Boosting Algorithms for Maximizing the Soft Margin
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
Manfred K. Warmuth, Karen A. Glocer, Gunnar Rä...
NIPS
2007
15 years 8 months ago
Learning Bounds for Domain Adaptation
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
John Blitzer, Koby Crammer, Alex Kulesza, Fernando...