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IJCAI
2003
13 years 9 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
CICLING
2006
Springer
13 years 11 months ago
Predicting Dialogue Acts from Prosodic Information
In this paper, the influence of intonation to recognize dialogue acts from speech is assessed. Assessment is based on an empirical approach: manually tagged data from a spoken-dial...
Sergio Rafael Coria Olguin, Luis Alberto Pineda Co...
ML
2008
ACM
13 years 7 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
13 years 9 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
ICCV
2011
IEEE
12 years 7 months ago
Learning Cross-modality Similarity for Multinomial Data
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in all the modalities, on...
Yangqing Jia, Mathieu Salzmann, Trevor Darrell