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ICML
2007
IEEE
16 years 7 months ago
Robust multi-task learning with t-processes
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...
Shipeng Yu, Volker Tresp, Kai Yu
167
Voted
IEEEICCI
2005
IEEE
16 years 7 days ago
An empirical study of programmer learning during incremental software development
The paper presents a case study that investigates programmer learning during incremental program development. Dialog based protocol and protocol analysis are used to explore the l...
Shaochun Xu, Václav Rajlich, Andrian Marcus
ICANN
2003
Springer
15 years 12 months ago
Optimal Hebbian Learning: A Probabilistic Point of View
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
Jean-Pascal Pfister, David Barber, Wulfram Gerstne...
UAI
2008
15 years 8 months ago
Learning Hidden Markov Models for Regression using Path Aggregation
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
Keith Noto, Mark Craven
ETS
2002
IEEE
144views Hardware» more  ETS 2002»
15 years 6 months ago
Best Practices in Technology-Mediated Learning in American Business Education
Many business schools are re-examining management education, and many view advanced information technology as an enabler of innovative and effective learning. How best to approach...
Gretchen Gemeinhardt