146 search results - page 23 / 30 » A new multi-objective evolutionary algorithm for solving hig... |
ML
2006
ACM
13 years 7 months ago
2006
ACM
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
MASCOTS
2007
2007
A Novel Flow Control Scheme for Best Effort Traffic in NoC Based on Source Rate Utility Maximization
13 years 8 months ago
—Advances in semiconductor technology, has enabled designers to put complex, massively parallel multiprocessor systems on a single chip. Network on Chip (NoC) that supports high ...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...