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COLT
2006
Springer
15 years 10 months ago
Online Multitask Learning
We study the problem of online learning of multiple tasks in parallel. On each online round, the algorithm receives an instance and makes a prediction for each one of the parallel ...
Ofer Dekel, Philip M. Long, Yoram Singer
HICSS
2003
IEEE
95views Biometrics» more  HICSS 2003»
15 years 12 months ago
Knowledge Negotiation in Asynchronous Learning Networks
The negotiation of what is to count as mutually acceptable collaborative knowledge is difficult to conduct when participants cannot interact face-to-face. We review certain relate...
Gerry Stahl
ICASSP
2009
IEEE
15 years 10 months ago
Learning to maximize signal-to-noise ratio for reverberant speech segregation
Monaural speech segregation in reverberant environments is a very difficult problem. We develop a supervised learning approach by proposing an objective function that directly rel...
Zhaozhang Jin, DeLiang Wang
AH
2008
Springer
15 years 8 months ago
Does 'Notice' Prompt Noticing? Raising Awareness in Language Learning with an Open Learner Model
Open learner models (OLM) are learner models that are accessible to the learner they represent. Many examples now exist, often with the aim of prompting learner reflection on their...
Gheida Shahrour, Susan Bull
AAAI
2011
14 years 6 months ago
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation
Inspired by “GoogleTM Sets” and Bayesian sets, we consider the problem of retrieving complex objects and relations among them, i.e., ground atoms from a logical concept, given...
Marion Neumann, Babak Ahmadi, Kristian Kersting