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TEC
2002
133views more  TEC 2002»
15 years 1 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
BIRTHDAY
2009
Springer
15 years 8 months ago
An Action Semantics Based on Two Combinators
We propose a naive version of action semantics that begins with a selection of “transient” and “persistent” facets, each characterized as a partial monoid. Yielders are de...
Kyung-Goo Doh, David A. Schmidt
SDM
2012
SIAM
305views Data Mining» more  SDM 2012»
13 years 4 months ago
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 7 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ICIP
2006
IEEE
16 years 3 months ago
A Generalized Discriminative Muitiple Instance Learning for Multimedia Semantic Concept Detection
In the paper we present a generalized discriminative multiple instance learning algorithm (GD-MIL) for multimedia semantic concept detection. It combines the capability of the MIL...
Sheng Gao, Qibin Sun