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» Structured Learning with Approximate Inference
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ACL
2004
14 years 11 months ago
Applying Machine Learning to Chinese Temporal Relation Resolution
Temporal relation resolution involves extraction of temporal information explicitly or implicitly embedded in a language. This information is often inferred from a variety of inte...
Wenjie Li, Kam-Fai Wong, Guihong Cao, Chunfa Yuan
AGI
2008
14 years 11 months ago
How Might Probabilistic Reasoning Emerge from the Brain?
: A series of hypotheses is proposed, connecting neural structures and dynamics with the formal structures and processes of probabilistic logic. First, a hypothetical connection is...
Ben Goertzel, Cassio Pennachin
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
15 years 4 months ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
IJON
2007
184views more  IJON 2007»
14 years 9 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
TNN
1998
111views more  TNN 1998»
14 years 9 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos