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» Learning Algorithms for Domain Adaptation
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TNN
1998
146views more  TNN 1998»
15 years 3 days ago
An analytical framework for local feedforward networks
Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
S. Weaver, L. Baird, Marios M. Polycarpou
91
Voted
GECCO
2007
Springer
228views Optimization» more  GECCO 2007»
15 years 6 months ago
Collective behavior based hierarchical XCS
This paper attempts to extend the XCS research by analyzing the impact of information exchange between XCS agents on classifier performance. Two types of information are exchange...
Matthew Gershoff, Sonia Schulenburg
104
Voted
PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
14 years 11 months ago
Exploration in Relational Worlds
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Tobias Lang, Marc Toussaint, Kristian Kersting
104
Voted
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 1 months ago
Turning down the noise in the blogosphere
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos...
WWW
2004
ACM
16 years 1 months ago
Small world peer networks in distributed web search
In ongoing research, a collaborative peer network application is being proposed to address the scalability limitations of centralized search engines. Here we introduce a local ada...
Ruj Akavipat, Le-Shin Wu, Filippo Menczer