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» Regularization Methods for Additive Models
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KDD
2009
ACM
162views Data Mining» more  KDD 2009»
16 years 7 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester
BMCBI
2006
102views more  BMCBI 2006»
15 years 6 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
172
Voted
JAIR
2008
113views more  JAIR 2008»
15 years 6 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
CIE
2005
Springer
15 years 12 months ago
How to Compare the Power of Computational Models
We argue that there is currently no satisfactory general framework for comparing the extensional computational power of arbitrary computational models operating over arbitrary doma...
Udi Boker, Nachum Dershowitz
GLOBECOM
2008
IEEE
16 years 25 days ago
MIMO Receiver Design in the Presence of Radio Frequency Interference
—Multi-input multi-output (MIMO) receivers have been designed and their communication performance analyzed under the assumption of additive Gaussian noise. Wireless transceivers,...
Kapil Gulati, Aditya Chopra, Robert W. Heath Jr., ...