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SIGIR
2011
ACM
12 years 11 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
ICML
2006
IEEE
14 years 9 months ago
A choice model with infinitely many latent features
Elimination by aspects (EBA) is a probabilistic choice model describing how humans decide between several options. The options from which the choice is made are characterized by b...
Carl Edward Rasmussen, Dilan Görür, Fran...
INFOCOM
2006
IEEE
14 years 2 months ago
DDoS-Resilient Scheduling to Counter Application Layer Attacks Under Imperfect Detection
— Countering Distributed Denial of Service (DDoS) attacks is becoming ever more challenging with the vast resources and techniques increasingly available to attackers. In this pa...
Supranamaya Ranjan, Ram Swaminathan, Mustafa Uysal...
ICCAD
1997
IEEE
126views Hardware» more  ICCAD 1997»
14 years 23 days ago
An output encoding problem and a solution technique
We present a new output encoding problem as follows: Given a specification table, such as a truth table or a finite state machine state table, where some of the outputs are specif...
Subhasish Mitra, LaNae J. Avra, Edward J. McCluske...
ML
2002
ACM
135views Machine Learning» more  ML 2002»
13 years 8 months ago
Bayesian Treed Models
When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...
Hugh A. Chipman, Edward I. George, Robert E. McCul...