Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Pottie, Greg"'
Autor:
Tadayon, Manie, Pottie, Greg
Educational systems have traditionally been evaluated using cross-sectional studies, namely, examining a pretest, posttest, and single intervention. Although this is a popular approach, it does not model valuable information such as confounding varia
Externí odkaz:
http://arxiv.org/abs/2108.00654
Autor:
Tadayon, Manie, Pottie, Greg
Synthetic data is widely used in various domains. This is because many modern algorithms require lots of data for efficient training, and data collection and labeling usually are a time-consuming process and are prone to errors. Furthermore, some rea
Externí odkaz:
http://arxiv.org/abs/2009.04595
Autor:
Tadayon, Manie, Pottie, Greg
Time series and sequential data have gained significant attention recently since many real-world processes in various domains such as finance, education, biology, and engineering can be modeled as time series. Although many algorithms and methods suc
Externí odkaz:
http://arxiv.org/abs/2008.03825
Autor:
Tadayon, Manie, Pottie, Greg
Contributions: Prior studies on education have mostly followed the model of the cross sectional study, namely, examining the pretest and the posttest scores. This paper shows that students' knowledge throughout the intervention can be estimated by ti
Externí odkaz:
http://arxiv.org/abs/1904.11857
Akademický článek
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Publikováno v:
Hajj Chehade, Nabil; Nair, Sheela; Parker, Andrew; Hansen, Mark; & Pottie, Greg. (2009). Two Major Themes in the Design of Sensor Networks: Data Integrity and Sampling.. Center for Embedded Network Sensing. UCLA: Center for Embedded Network Sensing. Retrieved from: http://www.escholarship.org/uc/item/44p676jg
In this poster, we consider two major themes in the design of sensor networks: data integrity, and sampling strategies. For the data integrity problem, we propose a signature-based fault detection system for identifying both intermittent faults and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::a0aa2fc76b037cb7d6cb98d6b98fd513
http://www.escholarship.org/uc/item/44p676jg
http://www.escholarship.org/uc/item/44p676jg
Autor:
Kim, Karen, Uehara, Wesley, Estrin, Deborah, Allen, Michael, Borgman, Christine, Carter-LaFlamme, Amber, Burke, Jeff, Cook, Melissa, Griffis, Kathy, Guy, Richard, Hamilton, Michael, Hansen, Mark, Hanusa, Robert, Harmon, Tom, Jay, Jennifer, Kaiser, William, Lau, Andrew, Lee, Christine, Lui, Kaising, Martinez, Kristina, Mehta, Anand, Misa, Kim, Navarro, Juan, Pottie, Greg, Ryu, Suna, Srivastava, Mani, Sandoval, William, Sax, Linda, Wallis, Jillian, Wallace, John, Wise, Joe, Wong, Jackie
Publikováno v:
Kim, Karen; Uehara, Wesley; Estrin, Deborah; Allen, Michael; Borgman, Christine; Carter-LaFlamme, Amber; et al.(2009). Education Overview. Center for Embedded Network Sensing. UCLA: Center for Embedded Network Sensing. Retrieved from: http://www.escholarship.org/uc/item/9350j539
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::3b116299a7f6da9c650aaf2140c8ba7a
http://www.escholarship.org/uc/item/9350j539
http://www.escholarship.org/uc/item/9350j539
Autor:
Hajj Chehade, Nabil, Pottie, Greg
Publikováno v:
Hajj Chehade, Nabil; & Pottie, Greg. (2007). Spatial Sampling for Model Selection. Center for Embedded Network Sensing. UCLA: Center for Embedded Network Sensing. Retrieved from: http://www.escholarship.org/uc/item/4t1513p0
Many applications in sensor networks require the estimation of spatial environmental fields. We focus on the applications where the estimation is done by fitting a parametric model to the field. We study the case when the parametric model structure i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::0d148db38f902c3869ccd78d869bb985
http://www.escholarship.org/uc/item/4t1513p0
http://www.escholarship.org/uc/item/4t1513p0
Autor:
Ni, Kevin, Ramanathan, Nithya, Hajj Chehade, Nabil, Baizano, Laura, Nair, Sheela, Zahedi, Sadaf, Pottie, Greg, Hansen, Mark, Srivastava, Mani
Publikováno v:
Ni, Kevin; Ramanathan, Nithya; Hajj Chehade, Nabil; Baizano, Laura; Nair, Sheela; Zahedi, Sadaf; et al.(2007). Sensor Network Data Fault Types. Center for Embedded Network Sensing. UCLA: Center for Embedded Network Sensing. Retrieved from: http://www.escholarship.org/uc/item/1rb4285n
Little of the work in sensor network studies related to data quality has presented a detailed study of sensor faults and fault models. We provide a comprehensive look at sensor network data fault types and a unified basis for describing sensor faults
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::d4bc735fbbe638a21ef721933c3ea2ed
http://www.escholarship.org/uc/item/1rb4285n
http://www.escholarship.org/uc/item/1rb4285n