120 search results - page 5 / 24 » Concept Convergence in Empirical Domains |
CIA
2004
Springer
14 years 24 days ago
2004
Springer
Given a specification of communication rules in a multiagent system (in the form of protocols, ACL semantics, etc.), the question of how to design appropriate agents that can oper...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
We observe several characteristics of empirical image interpolating algorithms and contribute four novel concepts and claims. First, we interpret well-known classification-based ...
ECIS
2004
13 years 8 months ago
2004
In this paper we present a framework that aims to answer the central question why some organizations are successful in the CRM domain, while others are not. The framework is built...
PPSN
1990
Springer
13 years 11 months ago
1990
Springer
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
AAAI
2012
11 years 9 months ago
2012
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...