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» Approximation Algorithms for Scheduling on Multiple Machines
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CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
14 years 12 days ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
DAM
2007
100views more  DAM 2007»
13 years 7 months ago
Partially ordered knapsack and applications to scheduling
In the partially-ordered knapsack problem (POK) we are given a set N of items and a partial order ≺P on N. Each item has a size and an associated weight. The objective is to pac...
Stavros G. Kolliopoulos, George Steiner
EDBT
2008
ACM
135views Database» more  EDBT 2008»
14 years 7 months ago
Minimizing latency and memory in DSMS: a unified approach to quasi-optimal scheduling
Data Stream Management Systems (DSMSs) must support optimized execution scheduling of multiple continuous queries on massive, and frequently bursty, data streams. Previous approac...
Yijian Bai, Carlo Zaniolo
ACCV
2007
Springer
14 years 1 months ago
Task Scheduling in Large Camera Networks
Camera networks are increasingly being deployed for security. In most of these camera networks, video sequences are captured, transmitted and archived continuously from all cameras...
Ser-Nam Lim, Larry S. Davis, Anurag Mittal
COLT
1993
Springer
13 years 11 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung