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UAI
2004
13 years 10 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
MP
2007
95views more  MP 2007»
13 years 8 months ago
Smoothed analysis of integer programming
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
Heiko Röglin, Berthold Vöcking
ISPD
2012
ACM
288views Hardware» more  ISPD 2012»
12 years 4 months ago
Construction of realistic gate sizing benchmarks with known optimal solutions
Gate sizing in VLSI design is a widely-used method for power or area recovery subject to timing constraints. Several previous works have proposed gate sizing heuristics for power ...
Andrew B. Kahng, Seokhyeong Kang
FOCS
1997
IEEE
14 years 1 months ago
General Dynamic Routing with Per-Packet Delay Guarantees of O(distance + 1 / session rate)
A central issue in the design of modern communication networks is that of providing performance guarantees. This issue is particularly important if the networks support real-time t...
Matthew Andrews, Antonio Fernández, Mor Har...
JPDC
2006
187views more  JPDC 2006»
13 years 8 months ago
Maximum lifetime data sensing and extraction in energy constrained networked sensor systems
We focus on data gathering problems in energy constrained networked sensor systems. The system operates in rounds where a subset of the sensors generate a certain number of data p...
Bo Hong, Viktor K. Prasanna