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JMLR
2010
107views more  JMLR 2010»
13 years 1 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 7 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
SIGMETRICS
2008
ACM
181views Hardware» more  SIGMETRICS 2008»
13 years 6 months ago
Counter braids: a novel counter architecture for per-flow measurement
Fine-grained network measurement requires routers and switches to update large arrays of counters at very high link speed (e.g. 40 Gbps). A naive algorithm needs an infeasible amo...
Yi Lu, Andrea Montanari, Balaji Prabhakar, Sarang ...
MICRO
2007
IEEE
167views Hardware» more  MICRO 2007»
14 years 1 months ago
Informed Microarchitecture Design Space Exploration Using Workload Dynamics
Program runtime characteristics exhibit significant variation. As microprocessor architectures become more complex, their efficiency depends on the capability of adapting with wor...
Chang-Burm Cho, Wangyuan Zhang, Tao Li
BMCBI
2010
115views more  BMCBI 2010»
13 years 7 months ago
Multiconstrained gene clustering based on generalized projections
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...
Jia Zeng, Shanfeng Zhu, Alan Wee-Chung Liew, Hong ...