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ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
15 years 1 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
PAMI
2006
143views more  PAMI 2006»
15 years 4 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
ICDE
2010
IEEE
273views Database» more  ICDE 2010»
16 years 3 months ago
WikiAnalytics: Ad-hoc Querying of Highly Heterogeneous Structured Data
Searching and extracting meaningful information out of highly heterogeneous datasets is a hot topic that received a lot of attention. However, the existing solutions are based on e...
Andrey Balmin, Emiran Curtmola
CHI
2011
ACM
14 years 7 months ago
Data cracker: developing a visual game analytic tool for analyzing online gameplay
Game analytics is a domain that focuses on the systems and methods used to analyze game-related data. In this paper we present how a visual game analytic tool can be developed to ...
Ben Medler, Michael John, Jeff Lane
SOCO
2002
Springer
15 years 3 months ago
Granular neural web agents for stock prediction
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...