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» On the Complexity of Function Learning
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102
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ICML
2007
IEEE
16 years 4 months ago
Analyzing feature generation for value-function approximation
We analyze a simple, Bellman-error-based approach to generating basis functions for valuefunction approximation. We show that it generates orthogonal basis functions that provably...
Ronald Parr, Christopher Painter-Wakefield, Lihong...
143
Voted
ML
2002
ACM
140views Machine Learning» more  ML 2002»
15 years 3 months ago
A Probabilistic Framework for SVM Regression and Error Bar Estimation
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin...
141
Voted
ICALP
2009
Springer
16 years 4 months ago
Limiting Negations in Formulas
Negation-limited circuits have been studied as a circuit model between general circuits and monotone circuits. In this paper, we consider limiting negations in formulas. The minimu...
Hiroki Morizumi
105
Voted
COGSCI
2004
78views more  COGSCI 2004»
15 years 3 months ago
Varieties of sameness: the impact of relational complexity on perceptual comparisons
The fundamental relations that underlie cognitive comparisons--"same" and "different"--can be demultiple levels of abstraction, which vary in relational comple...
James K. Kroger, Keith J. Holyoak, John E. Hummel
128
Voted
IDEAL
2005
Springer
15 years 9 months ago
Patterns in Complex Systems Modeling
The design, development, and use of complex systems models raises a unique class of challenges and potential pitfalls, many of which are commonly recurring problems. Over time, res...
Janet Wiles, James Watson