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CDC
2010
IEEE
113views Control Systems» more  CDC 2010»
13 years 3 months ago
Independent vs. joint estimation in multi-agent iterative learning control
This paper studies iterative learning control (ILC) in a multi-agent framework. A group of agents simultaneously and repeatedly perform the same task. The agents improve their perf...
Angela Schöllig, Javier Alonso-Mora, Raffaell...
DIAGRAMS
2004
Springer
14 years 2 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
CE
2007
121views more  CE 2007»
13 years 8 months ago
Transition from traditional to ICT-enhanced learning environments in undergraduate chemistry courses
This paper describes a three-year study conducted among chemistry instructors (professors and teaching assistants) at a post-secondary institution. The goal was to explore the int...
Miri Barak
HICSS
2011
IEEE
226views Biometrics» more  HICSS 2011»
13 years 11 days ago
Collaborative Learning through Wireless Grids
In this paper, we describe wireless grids, an emerging technology that enables ad hoc sharing of resources (such as screen, services and microphone) on edge devices (such as mobil...
Angela Usha Ramnarine-Rieks, Lee W. McKnight, Ruth...
JMLR
2012
11 years 11 months ago
Exploiting Unrelated Tasks in Multi-Task Learning
We study the problem of learning a group of principal tasks using a group of auxiliary tasks, unrelated to the principal ones. In many applications, joint learning of unrelated ta...
Bernardino Romera-Paredes, Andreas Argyriou, Nadia...