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NIPS
2007
15 years 8 months ago
Anytime Induction of Cost-sensitive Trees
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...
Saher Esmeir, Shaul Markovitch
IOR
2006
163views more  IOR 2006»
15 years 6 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
NPC
2004
Springer
15 years 11 months ago
LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment
Abstract. Location estimation and user behavior recognition are research issues that go hand in hand. In the past, these two issues have been investigated separately. In this paper...
Qiang Yang, Yiqiang Chen, Jie Yin, Xiaoyong Chai
CORR
2007
Springer
75views Education» more  CORR 2007»
15 years 6 months ago
Outage Behavior of Discrete Memoryless Channels Under Channel Estimation Errors
Classically, communication systems are designed assuming perfect channel state information at the receiver and/or transmitter. However, in many practical situations, only an estim...
Pablo Piantanida, Gerald Matz, Pierre Duhamel
HUC
2004
Springer
15 years 12 months ago
Particle Filters for Location Estimation in Ubiquitous Computing: A Case Study
Location estimation is an important part of many ubiquitous computing systems. Particle filters are simulation-based probabilistic approximations which the robotics community has ...
Jeffrey Hightower, Gaetano Borriello