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» A Theory for Memory-Based Learning
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NIPS
2007
15 years 7 months ago
Statistical Analysis of Semi-Supervised Regression
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
John D. Lafferty, Larry A. Wasserman
ICML
2010
IEEE
15 years 7 months ago
Convergence of Least Squares Temporal Difference Methods Under General Conditions
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Huizhen Yu
IEEECIT
2010
IEEE
15 years 4 months ago
Reform and Practice in the Course ???The Principle of Computer Organization???
—This paper introduces several new guiding ideologies in “the Principle of Computer Organization” course reform, based on the purpose of application-oriented personnel traini...
Qifan Yang, Jianping Cai
CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 3 months ago
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre
ISVC
2009
Springer
16 years 25 days ago
Combinatorial Preconditioners and Multilevel Solvers for Problems in Computer Vision and Image Processing
Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
Ioannis Koutis, Gary L. Miller, David Tolliver