Sciweavers

89
Voted
ECML
2007
Springer
15 years 21 days ago
Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining
Shoji Hirano, Shusaku Tsumoto
114
Voted
ECML
2007
Springer
15 years 21 days ago
Sequence Labeling with Reinforcement Learning and Ranking Algorithms
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
Francis Maes, Ludovic Denoyer, Patrick Gallinari
92
Voted
ECML
2007
Springer
15 years 21 days ago
Approximating Gaussian Processes with H2-Matrices
Steffen Börm, Jochen Garcke
COLT
2008
Springer
15 years 21 days ago
On the Margin Explanation of Boosting Algorithms
Much attention has been paid to the theoretical explanation of the empirical success of AdaBoost. The most influential work is the margin theory, which is essentially an upper bou...
Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua ...
98
Voted
COLT
2008
Springer
15 years 21 days ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál
COLT
2008
Springer
15 years 21 days ago
High-Probability Regret Bounds for Bandit Online Linear Optimization
We present a modification of the algorithm of Dani et al. [8] for the online linear optimization problem in the bandit setting, which with high probability has regret at most O ( ...
Peter L. Bartlett, Varsha Dani, Thomas P. Hayes, S...
COLT
2008
Springer
15 years 21 days ago
On-line Sequential Bin Packing
András György, Gábor Lugosi, Gy...
72
Voted
COLT
2008
Springer
15 years 21 days ago
Adaptive Hausdorff Estimation of Density Level Sets
Consider the problem of estimating the -level set G = {x : f(x) } of an unknown d-dimensional density function f based on n independent observations X1, . . . , Xn from the densi...
Aarti Singh, Robert Nowak, Clayton Scott
79
Voted
COLT
2008
Springer
15 years 21 days ago
Learning Acyclic Probabilistic Circuits Using Test Paths
We define a model of learning probabilistic acyclic circuits using value injection queries, in which an arbitrary subset of wires is set to fixed values, and the value on the sing...
Dana Angluin, James Aspnes, Jiang Chen, David Eise...
61
Voted
COLT
2008
Springer
15 years 21 days ago
Learning Mixtures of Product Distributions Using Correlations and Independence
We study the problem of learning mixtures of distributions, a natural formalization of clustering. A mixture of distributions is a collection of distributions D = {D1, . . . DT },...
Kamalika Chaudhuri, Satish Rao