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» Conditional Models for Non-smooth Ranking Loss Functions
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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 10 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
TIT
2011
140views more  TIT 2011»
13 years 2 months ago
Sequential Quantile Prediction of Time Series
Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model bas...
Gérard Biau, Benoît Patra
SIGMETRICS
2010
ACM
152views Hardware» more  SIGMETRICS 2010»
13 years 6 months ago
A fluid approximation for large-scale service systems
We introduce and analyze a deterministic fluid model that serves as an approximation for the Gt/GI/st + GI manyserver queueing model, which has a general time-varying arrival pro...
Yunan Liu, Ward Whitt
TSP
2011
165views more  TSP 2011»
13 years 2 months ago
Quaternion ICA From Second-Order Statistics
—This paper addresses the independent component analysis (ICA) of quaternion random vectors. In particular, we focus on the Gaussian case and therefore only consider the quaterni...
Javier Vía, Daniel P. Palomar, Luis Vielva,...
AAAI
2011
12 years 7 months ago
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...