166 search results - page 9 / 34 » Issues in evaluation of stream learning algorithms |
136
Voted
TNN
2008
15 years 3 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
125
Voted
JMLR
2010
14 years 10 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
150
Voted
WSDM
2012
ACM
13 years 11 months ago
2012
ACM
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
138
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
139
Voted
KDD
2002
ACM
16 years 4 months ago
2002
ACM
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...