Publications

Found 4228 results
[ Author(Desc)] Title Type Year
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X
Xiao, X.., Hannan A.., Paxson V., & Crabbe E.. (2000).  TCP Processing of the IPv4 Precedence Field.
Xie, S., & Liu Y. (2008).  Using Corpus and Knowledge-Based Similarity Measure in Maximum Marginal Relevance for Meeting Summarization. 4985-4988.
Xie, S., Hakkani-Tür D., Favre B., & Liu Y. (2009).  Integrating Prosodic Features in Extractive Meeting Summarization. 387-391.
Xie, S., Favre B., Hakkani-Tür D., & Liu Y. (2009).  Leveraging Sentence Weights in a Concept-Based Optimization Framework for Extractive Meeting Summarization. 1503-1506.
Xin, R., Rosen J., Zaharia M., Franklin M. J., Shenker S. J., & Stoica I. (2012).  Shark: SQL and Rich Analytics at Scale.
Xin, R., Rosen J., Zaharia M., Franklin M. J., Shenker S. J., & Stoica I. (2013).  Shark: SQL and Rich Analytics at Scale. 13-24.
Xing, E. P., Sharan R., & Jordan M. I. (2004).  Bayesian Haplotype Inference via the Dirichlet Process. Proceedings of ICML 2004.
Xing, E. P., & Karp R. M. (2001).  CLIFF: Clustering of High-Dimensional Microarray Data via Iterative Feature Filtering Using Normalized Cuts. 17, S306-S315.
Xing, E. P., Wu W.., Jordan M. I., & Karp R. M. (2003).  LOGOS: A Modular Bayesian Model for de Novo Motif Detection. Proceedings of IEEE Computer Society Bioinformatic Conference IPTPS.
Xing, E. P., Ng A.. Y., Jordan M. I., & Russell S. (2002).  Distance Metric Learning, with Application to Clustering with Side-Information.
Xing, E. P., Sharan R., & Jordan M. I. (2004).  Bayesian Haplotype Inference via the Dirichlet Process. Proceedings of the Second RECOMB Satellite Workshop on Computational Methods for SNP and Haplotypes. 99-112.
Xing, E. P., & Karp R. M. (2004).  MotifPrototyper: A Bayesian Profile Model for Motif Families. Proceedings of the National Academy of Sciences of the United States of America. 101(29), 10523-10528.
Xing, E. P., Jordan M. I., & Karp R. M. (2001).  Feature Selection for High-Dimensional Genomic Microarray Data. Proceedings of the 18th International Conference on Machine Learning (ICML 2001). 601-608.
Xing, E. P., Jordan M. I., Karp R. M., & Russell S. (2002).  A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.
Xiong, Y., Scharstein D., Chakrabarti A., Darrell T., Sun B., Saenko K., et al. (2014).  Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(11), 2185-2198.
Xiong, Y., Saenko K., Darrell T., & Zickler T. (2012).  From Pixels to Physics: Probabilistic Color De-rendering.
Xu, P., Yang J., Roosta-Khorasani F., Re C., & Mahoney M. (2016).  Sub-sampled Newton Methods with Non-uniform Sampling. Proceedings of the 2016 NIPS Conference.
Y
Yago, C.. M., Ruiz P. M., & Gómez-Skarmeta A. (2005).  Metodo de Eliminacion de Reenvios Basado en Contador y Adaptable a la Movilidad para Reducir la Sobrecarga de Datos al Encaminar. Proceedings of the V Jornadas de Ingenieria Telematica.
Yakimovsky, Y.., & Feldman J. (1973).  A Semantics-Based Decision Theory Region Analyser. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 1973). 580-588.

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