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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 6 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
NIPS
2003
15 years 7 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
ICCV
2007
IEEE
16 years 7 months ago
Stochastic Adaptive Tracking In A Camera Network
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...
Bi Song, Amit K. Roy Chowdhury
WWW
2009
ACM
16 years 6 months ago
The slashdot zoo: mining a social network with negative edges
We analyse the corpus of user relationships of the Slashdot technology news site. The data was collected from the Slashdot Zoo feature where users of the website can tag other use...
Andreas Lommatzsch, Christian Bauckhage, Jé...
SUTC
2006
IEEE
15 years 11 months ago
Sensor Networks for Everyday Use: The BL-Live Experience
With 250,000 NTD invested, 6 man power allocated, and 9 month time elapsed, we present BLLive. The seemingly dumb, senseless BL Hall at National Taiwan University is transformed t...
Seng-Yong Lau, Ting-Hao Chang, Shu-Yu Hu, Hsing-Ju...