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ISAAC
2000
Springer
178views Algorithms» more  ISAAC 2000»
15 years 8 months ago
Simple Algorithms for a Weighted Interval Selection Problem
Given a set of jobs, each consisting of a number of weighted intervals on the real line, and a number m of machines, we study the problem of selecting a maximum weight subset of th...
Thomas Erlebach, Frits C. R. Spieksma
AAAI
2008
15 years 6 months ago
Computing Observation Vectors for Max-Fault Min-Cardinality Diagnoses
Model-Based Diagnosis (MBD) typically focuses on diagnoses, minimal under some minimality criterion, e.g., the minimal-cardinality set of faulty components that explain an observa...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 6 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
GLOBECOM
2007
IEEE
15 years 6 months ago
Optimal Downlink OFDMA Subcarrier, Rate, and Power Allocation with Linear Complexity to Maximize Ergodic Weighted-Sum Rates
Abstract— In this paper, we propose a resource allocation algorithm for ergodic weighted-sum rate maximization in downlink OFDMA systems. In contrast to most previous research tha...
Ian C. Wong, Brian L. Evans
AAAI
2006
15 years 6 months ago
DNNF-based Belief State Estimation
As embedded systems grow increasingly complex, there is a pressing need for diagnosing and monitoring capabilities that estimate the system state robustly. This paper is based on ...
Paul Elliott, Brian C. Williams