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» Making inferences with small numbers of training sets
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97
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ECML
2007
Springer
15 years 6 months ago
Additive Groves of Regression Trees
We present a new regression algorithm called Additive Groves and show empirically that it is superior in performance to a number of other established regression methods. A single G...
Daria Sorokina, Rich Caruana, Mirek Riedewald
116
Voted
MOBIHOC
2008
ACM
15 years 11 months ago
Efficient binary schemes for training heterogeneous sensor and actor networks
Sensor networks are expected to evolve into long-lived, autonomous networked systems whose main mission is to provide in-situ users ? called actors ? with real-time information in...
Ferruccio Barsi, Alfredo Navarra, Maria Cristina P...
NPAR
2004
ACM
15 years 5 months ago
Example-based composite sketching of human portraits
Creating a portrait in the style of a particular artistic tradition or a particular artist is a difficult problem. Elusive to codify algorithmically, the nebulous qualities which...
Hong Chen, Ziqiang Liu, Chuck Rose, Yingqing Xu, H...
CVPR
2007
IEEE
16 years 1 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
NIPS
2004
15 years 1 months ago
Probabilistic Inference of Alternative Splicing Events in Microarray Data
Alternative splicing (AS) is an important and frequent step in mammalian gene expression that allows a single gene to specify multiple products, and is crucial for the regulation ...
Ofer Shai, Brendan J. Frey, Quaid Morris, Qun Pan,...