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ICML
2009
IEEE
16 years 7 months ago
On sampling-based approximate spectral decomposition
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
CADE
2005
Springer
16 years 7 months ago
Deciding Monodic Fragments by Temporal Resolution
In this paper we study the decidability of various fragments of monodic first-order temporal logic by temporal resolution. We focus on two resolution calculi, namely, monodic tempo...
Ullrich Hustadt, Boris Konev, Renate A. Schmidt
ALT
2008
Springer
16 years 3 months ago
Active Learning in Multi-armed Bandits
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...
András Antos, Varun Grover, Csaba Szepesv&a...
WINE
2007
Springer
150views Economy» more  WINE 2007»
16 years 26 days ago
Maximizing Revenue in Sequential Auctions
We study sequential auctions for private value objects and unit-demand bidders using second-price sealed-bid rules. We analyze this scenario from the seller’s perspective and con...
Edith Elkind, S. Shaheen Fatima
CIMCA
2006
IEEE
16 years 25 days ago
Model-driven Walks for Resource Discovery in Peer-to-Peer Networks
In this paper, a distributed and adaptive approach for resource discovery in peer-to-peer networks is presented. This approach is based on the mobile agent paradigm and the random...
Mohamed Bakhouya, Jaafar Gaber