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NIPS
2003
15 years 5 months ago
Online Learning of Non-stationary Sequences
We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. We derive upper and lower relative loss bounds for a cla...
Claire Monteleoni, Tommi Jaakkola
WWW
2011
ACM
14 years 11 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
ICMLA
2010
15 years 2 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
SOSP
2009
ACM
16 years 1 months ago
Automatically patching errors in deployed software
We present ClearView, a system for automatically patching errors in deployed software. ClearView works on stripped Windows x86 binaries without any need for source code, debugging...
Jeff H. Perkins, Sunghun Kim, Samuel Larsen, Saman...
CSCWD
2008
Springer
15 years 6 months ago
Educational technology for collaborative virtual environments
3D information systems for education must be investigated and adopted for a more involving form of learning. It is in this context that we propose the use of Second Life as an env...
Marcio Cunha, Alberto Barbosa Raposo, Hugo Fuks