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» Evaluating algorithms that learn from data streams
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209
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EACL
2006
ACL Anthology
15 years 8 months ago
Edit Machines for Robust Multimodal Language Processing
Multimodal grammars provide an expressive formalism for multimodal integration and understanding. However, handcrafted multimodal grammars can be brittle with respect to unexpecte...
Srinivas Bangalore, Michael Johnston
238
Voted
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
16 years 4 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
SIGECOM
2011
ACM
259views ECommerce» more  SIGECOM 2011»
14 years 10 months ago
Designing adaptive trading agents
ended abstract summarizes the research presented in Dr. Pardoe’s recently-completed Ph.D. thesis [Pardoe 2011]. The thesis considers how adaptive trading agents can take advantag...
David Pardoe, Peter Stone
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 9 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
KDD
2002
ACM
293views Data Mining» more  KDD 2002»
16 years 7 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes