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» Algorithmic Randomness of Closed Sets
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JMLR
2012
13 years 5 months ago
Beyond Logarithmic Bounds in Online Learning
We prove logarithmic regret bounds that depend on the loss L∗ T of the competitor rather than on the number T of time steps. In the general online convex optimization setting, o...
Francesco Orabona, Nicolò Cesa-Bianchi, Cla...
JMLR
2012
13 years 5 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
TOG
2012
582views Communications» more  TOG 2012»
13 years 5 months ago
Synthesis of detailed hand manipulations using contact sampling
Capturing human activities that involve both gross full-body motion and detailed hand manipulation of objects is challenging for standard motion capture systems. We introduce a ne...
Yuting Ye, C. Karen Liu
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 3 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
SOFSEM
2009
Springer
16 years 5 days ago
Weaknesses of Cuckoo Hashing with a Simple Universal Hash Class: The Case of Large Universes
Cuckoo hashing was introduced by Pagh and Rodler in 2001 [12]. A set S of n keys is stored in two tables T1 and T2 each of which has m cells of capacity 1 such that constant access...
Martin Dietzfelbinger, Ulf Schellbach