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ICML
2000
IEEE
15 years 11 months ago
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Thomas R. Shultz, François Rivest
PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
16 years 34 min ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha
SEMWEB
2009
Springer
16 years 1 months ago
Automatically Constructing Semantic Web Services from Online Sources
Abstract. The work on integrating sources and services in the Semantic Web assumes that the data is either already represented in RDF or OWL or is available through a Semantic Web ...
José Luis Ambite, Sirish Darbha, Aman Goel,...
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
16 years 28 days ago
Online Affect Detection and Adaptation in Robot Assisted Rehabilitation for Children with Autism
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD) where the robot can detect the ...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...
HICSS
2006
IEEE
128views Biometrics» more  HICSS 2006»
16 years 21 days ago
Examining the Cognitive Style Effects on the Acceptance of Online Community Weblog Systems
Weblog is increasingly important over time with researchers anxious to learn why millions of Internet users are so eager to post their own diary on the web everyday. This study co...
Will Wai-Kit Ma, Pu Li, Theodore H. K. Clark