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ICML
2009
IEEE
10 years 2 months ago
Nonparametric estimation of the precision-recall curve
The Precision-Recall (PR) curve is a widely used visual tool to evaluate the performance of scoring functions in regards to their capacities to discriminate between two population...
Stéphan Clémençon, Nicolas Va...
ICML
2009
IEEE
10 years 2 months ago
Stochastic methods for l1 regularized loss minimization
Shai Shalev-Shwartz, Ambuj Tewari
ICML
2009
IEEE
10 years 2 months ago
Nearest neighbors in high-dimensional data: the emergence and influence of hubs
Milos Radovanovic, Alexandros Nanopoulos, Mirjana ...
ICML
2009
IEEE
10 years 2 months ago
A novel lexicalized HMM-based learning framework for web opinion mining
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. As e-commerce is becoming more an...
Wei Jin, Hung Hay Ho
ICML
2009
IEEE
10 years 8 months ago
Non-linear matrix factorization with Gaussian processes
Neil D. Lawrence, Raquel Urtasun
ICML
2009
IEEE
10 years 8 months ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ICML
2009
IEEE
10 years 8 months ago
K-means in space: a radiation sensitivity evaluation
Spacecraft increasingly employ onboard data analysis to inform further data collection and prioritization decisions. However, many spacecraft operate in high-radiation environment...
Kiri L. Wagstaff, Benjamin Bornstein
ICML
2009
IEEE
10 years 8 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
ICML
2009
IEEE
10 years 8 months ago
Structure learning with independent non-identically distributed data
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
Robert E. Tillman
ICML
2009
IEEE
10 years 8 months ago
Learning to segment from a few well-selected training images
Alireza Farhangfar, Csaba Szepesvári, Russe...
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