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» Using Derivation Trees for Treebank Error Detection
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TWC
2010
13 years 3 months ago
Reduced-Complexity Joint Baseband Compensation of Phase Noise and I/Q Imbalance for MIMO-OFDM Systems
The maximum likelihood estimate of the impulse response of a frequency-selective channel in the presence of phase noise and I/Q imbalance is derived. The complexity of the joint es...
Rabie Rabiei, Won Namgoong, Naofal Al-Dhahir
SBIA
2004
Springer
14 years 1 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
BROADNETS
2006
IEEE
14 years 2 months ago
An Energy Efficient and Accurate Slot Synchronization Scheme for Wireless Sensor Networks
Existing slotted channel access schemes in wireless networks assume that slot boundaries at all nodes are synchronized. In practice, relative clock drifts among nodes cause slot mi...
Lillian Dai, Prithwish Basu, Jason Redi
DSN
2009
IEEE
13 years 6 months ago
RRE: A game-theoretic intrusion Response and Recovery Engine
Preserving the availability and integrity of networked computing systems in the face of fast-spreading intrusions requires advances not only in detection algorithms, but also in a...
Saman A. Zonouz, Himanshu Khurana, William H. Sand...
AIME
1997
Springer
14 years 19 days ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....