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119
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JGO
2010
117views more  JGO 2010»
15 years 1 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
125
Voted
JSAC
2010
107views more  JSAC 2010»
15 years 1 months ago
Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
Hsien-Po Shiang, Mihaela van der Schaar
140
Voted
SIAMIS
2010
176views more  SIAMIS 2010»
15 years 29 days ago
Optimized Conformal Surface Registration with Shape-based Landmark Matching
Surface registration, which transforms different sets of surface data into one common reference space, is an important process which allows us to compare or integrate the surface ...
Lok Ming Lui, Sheshadri R. Thiruvenkadam, Yalin Wa...
168
Voted
SOCO
2010
Springer
15 years 29 days ago
Automatic detection of trends in time-stamped sequences: an evolutionary approach
This paper presents an evolutionary algorithm for modeling the arrival dates in time-stamped data sequences such as newscasts, e-mails, IRC conversations, scientific journal artic...
Lourdes Araujo, Juan Julián Merelo Guerv&oa...
163
Voted
TKDE
2010
186views more  TKDE 2010»
15 years 28 days ago
A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis
—Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products, etc.). Social tag...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
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