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» The Predictability of Data Values
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LOCA
2007
Springer
15 years 9 months ago
Inferring the Everyday Task Capabilities of Locations
Abstract. People rapidly learn the capabilities of a new location, without observing every service and product. Instead they map a few observations to familiar clusters of capabili...
Patricia Shanahan, William G. Griswold
131
Voted
ICMCS
2005
IEEE
110views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Electronic Chronicles: Empowering Individuals, Groups, and Organizations
Continuing strides in processing, storage, sensing, and networking technologies are enabling people to capture their activities and experiences as greater volumes of ever-richer m...
Gopal Pingali, R. Jain
150
Voted
SIGIR
2005
ACM
15 years 9 months ago
Multi-label informed latent semantic indexing
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...
Kai Yu, Shipeng Yu, Volker Tresp
JCP
2006
74views more  JCP 2006»
15 years 3 months ago
Local Boosting of Decision Stumps for Regression and Classification Problems
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Pan...
137
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ICDM
2009
IEEE
188views Data Mining» more  ICDM 2009»
15 years 1 months ago
Binomial Matrix Factorization for Discrete Collaborative Filtering
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Jinlong Wu