BibSonomy publications for /author/HuangTue Feb 14 14:09:20 CET 2012Journal of Physics D: Applied Physics9095416Thermal transport in Si/Ge nanocomposites422009Heat-Transfer-Solids Heat-Transfer In this paper, a systematic study is carried out to investigate the thermal transport in Si/Ge nanocomposites by using molecular dynamics simulation. Emphasis is placed on the effect of nanowire size, heat flux, Si/Ge interface, atomic ratio and defects (voids). The results show that the thermal conductivity of nanowire composites is much lower than that of alloy, which accounts mainly for ZT enhancement and owes a great deal to the effect of interface thermal resistance. A 'reflecting effect' in temperature distribution is observed at the Si/Ge interface, which is largely due to the lack of right quantum temperature correction in the region adjacent to the interface. The thermal conductivity of the nanocomposite is found to have weak dependence on the bulk temperature (200–900 K) and the heat flux in the range (0.5–3.5) × 10 10 W m −2 . Simulation results reveal that for a constant Si wire dimension, the thermal conductivity of the Si 1− x Ge x nanocomposites increases with x . Our study on the influence of the defects (voids) has the same order of relative thermal conductivity reduction with increasing void density in comparison with the experimental data. Due to the small size (10 nm) of Si nanowires in our nanocomposites, the voids show less effect on thermal conductivity reduction in comparison with the experimental data with 100 nm Si wires.Tue Feb 14 10:32:03 CET 2012AAAIAnytime Nonparametric A2011search heuristic_search heuristic anytime algorithms Mon Feb 13 12:49:12 CET 2012New York, NY, USAProceedings of the sixteenth ACM conference on Conference on information and knowledge management127--136CIKM '07Learning on the border: active learning in imbalanced data classification2007readthis This paper is concerned with the class imbalance problem which has been known to hinder the learning performance of classification algorithms. The problem occurs when there are significantly less number of observations of the target concept. Various real-world classification tasks, such as medical diagnosis, text categorization and fraud detection suffer from this phenomenon. The standard machine learning algorithms yield better prediction performance with balanced datasets. In this paper, we demonstrate that active learning is capable of solving the class imbalance problem by providing the learner more balanced classes. We also propose an efficient way of selecting informative instances from a smaller pool of samples for active learning which does not necessitate a search through the entire dataset. The proposed method yields an efficient querying system and allows active learning to be applied to very large datasets. Our experimental results show that with an early stopping criteria, active learning achieves a fast solution with competitive prediction performance in imbalanced data classification.Mon Feb 13 00:00:00 CET 2012IEEE Communications Magazine4120-131Single-element and phased-array transceiver chipsets for 60-ghz Gb/s communications.492011dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters3195-197An enhanced handoff control scheme for multimedia traffic in cellular networks.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters3153-155Tight BER bounds for iteratively decoded bit-interleaved space-time coded modulation.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters6356-358Performance of maximum-likelihood channel estimator for UWB communications.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Communications Letters8532-534EXIT chart analysis of BICM-ID over AWGN channels with SNR mismatch.82004dblp Mon Feb 13 00:00:00 CET 2012IEEE Geosci. Remote Sensing Lett.2228-232A Fast Back-Projection Algorithm Based on Cross Correlation for GPR Imaging.92012dblp Mon Feb 13 00:00:00 CET 2012IEEE Transactions on Information Technology in Biomedicine16-16A Reliable Transmission Protocol for ZigBee-Based Wireless Patient Monitoring.162012dblp Mon Feb 13 00:00:00 CET 2012Applied Mathematics and Computation137253-7269The numerical study of a regularized smoothing Newton method for solving P0-NCP based on the generalized smoothing Fischer-Burmeister function.2182012dblp Mon Feb 13 00:00:00 CET 2012Intelligent Video Event Analysis and Understandingseries/sci/2011-33293-109Studies in Computational IntelligenceEfficient Object Localization with Variation-Normalized Gaussianized Vectors.3322011dblp Mon Feb 13 00:00:00 CET 2012Computer and Information Scienceseries/sci/2010-31785-94Studies in Computational IntelligenceAn Exploration of the Intention to Use Online Store.3172010dblp Mon Feb 13 00:00:00 CET 2012NLPKEconf/nlpke/2011209-213Improved word alignment in patent domain.2011dblp Mon Feb 13 00:00:00 CET 2012NLPKEconf/nlpke/201143-50Learning the weight of the query term from the relevance feedback.2011dblp Mon Feb 13 00:00:00 CET 2012NLPKEconf/nlpke/2011280-284News topic detection based on hierarchical clustering and named entity.2011dblp Mon Feb 13 00:00:00 CET 2012NLPKEconf/nlpke/2011183-189An English part-of-speech tagger for machine translation in business domain.2011dblp Mon Feb 13 00:00:00 CET 2012NLPKEconf/nlpke/2011227-232Using context and semantic resources for cross-domain word Segmentation.2011dblp Mon Feb 13 00:00:00 CET 2012NLPKEconf/nlpke/2011415-420Detecting hedges scope based on phrase structures and dependency structures.2011dblp Mon Feb 13 00:00:00 CET 2012NLPKEconf/nlpke/20119-14Protein-Protein Interaction extraction based on ensemble kernel model and active learning strategy.2011dblp