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155
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ML
2012
ACM
388views Machine Learning» more  ML 2012»
13 years 10 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
123
Voted
AAAI
2012
13 years 5 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
98
Voted
BNCOD
2004
90views Database» more  BNCOD 2004»
15 years 4 months ago
Gauging Students' Understanding Through Interactive Lectures
Abstract. The Personal Response System (PRS) enables audience responses to multiple choice questions to be collected quickly, and for a summary of all the answers to be displayed t...
Helen C. Purchase, Christopher Mitchell, Iadh Ouni...
129
Voted
FLAIRS
2006
15 years 4 months ago
Corpus Based Unsupervised Labeling of Documents
Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of ...
Delip Rao, Deepak P, Deepak Khemani
TCIAIG
2010
14 years 9 months ago
Modeling Player Experience for Content Creation
In this paper, we use computational intelligence techniques to built quantitative models of player experience for a platform game. The models accurately predict certain key affecti...
Christopher Pedersen, Julian Togelius, Georgios N....