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» Conditional Models for Non-smooth Ranking Loss Functions
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ICML
2009
IEEE
14 years 8 months ago
Generalization analysis of listwise learning-to-rank algorithms
This paper presents a theoretical framework for ranking, and demonstrates how to perform generalization analysis of listwise ranking algorithms using the framework. Many learning-...
Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li
ICPR
2008
IEEE
14 years 2 months ago
A least square kernel machine with box constraints
In this paper, we present a least square kernel machine with box constraints (LSKMBC). The existing least square machines assume Gaussian hyperpriors and subsequently express the ...
Jayanta Basak
WINET
2010
142views more  WINET 2010»
13 years 5 months ago
Demand-driven publish/subscribe in mobile environments
—We propose a novel Self-Balancing Supply/Demand (SBSD) reactive MANET protocol. Our algorithm dynamically discovers publications matching specified subscriptions by controlled f...
Aris M. Ouksel, Doug Lundquist
UAI
2008
13 years 9 months ago
Cumulative distribution networks and the derivative-sum-product algorithm
We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
Jim C. Huang, Brendan J. Frey
NIPS
2008
13 years 9 months ago
Tighter Bounds for Structured Estimation
Large-margin structured estimation methods minimize a convex upper bound of loss functions. While they allow for efficient optimization algorithms, these convex formulations are n...
Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexan...