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ICML
2008
IEEE
16 years 7 months ago
Optimizing estimated loss reduction for active sampling in rank learning
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Pinar Donmez, Jaime G. Carbonell
ETFA
2008
IEEE
16 years 1 months ago
Optimal on-line (m, k)-firm constraint assignment for real-time control tasks based on plant state information
1 In this paper, we study the problem of scheduling a set of control tasks. We distinguish three different situations of states of controlled plants: not activated, steady state si...
Felicioni Flavia, Jia Ning, Françoise Simon...
DASFAA
2007
IEEE
172views Database» more  DASFAA 2007»
16 years 1 months ago
Optimizing Multiple In-Network Aggregate Queries in Wireless Sensor Networks
Abstract. In this paper, we explore the feature of sharing partial results of multiple queries to reduce the total number of messages incurred. Those queries sharing their partial ...
Huei-You Yang, Wen-Chih Peng, Chia-Hao Lo
IDEAS
2002
IEEE
135views Database» more  IDEAS 2002»
15 years 11 months ago
On Implicate Discovery and Query Optimization
Boolean expression simplification is a well-known problem in the history of Computer Science. The problem of determining prime implicates from an arbitrary Boolean expression has...
Kristofer Vorwerk, G. N. Paulley
AUSAI
1999
Springer
15 years 11 months ago
Minimal Belief Change and Pareto-Optimality
This paper analyzes the notion of a minimal belief change that incorporates new information. I apply the fundamental decisiontheoretic principle of Pareto-optimality to derive a no...
Oliver Schulte