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ALT
2003
Springer
14 years 13 days ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
HAPTICS
2006
IEEE
14 years 2 months ago
A Limit-Curve Based Soft Finger god-object Algorithm
This paper presents a new soft-finger haptic rendering algorithm based on the concept of limit curve which was previously used by the robotic manipulation community to study slid...
Antonio Frisoli, Emanuele Ruffaldi, Massimo Bergam...
ML
2002
ACM
168views Machine Learning» more  ML 2002»
13 years 8 months ago
On Average Versus Discounted Reward Temporal-Difference Learning
We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
John N. Tsitsiklis, Benjamin Van Roy
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 9 months ago
Phase Transitions for Greedy Sparse Approximation Algorithms
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner...
ICFP
2006
ACM
14 years 8 months ago
Towards an automatic complexity analysis for generic programs
Generic libraries, such as the C++ Standard Template Library (STL), provide flexible, high-performance algorithms and data types, along with functional specifications and performa...
Kyle D. Ross