Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Rukmini Iyer"'
Autor:
Rukmini Iyer
Cocinar al horno, el nuevo trend: una comida rápida, nutritiva y deliciosa. Cocinar al horno ofrece 75 deliciosas recetas de un solo plato, desde pollo asado al estragón y salmón al pesto hasta banquetes vegetarianos y tartas de hojaldre, pensadas
Autor:
Rukmini Iyer
Whether you have only half an hour or an entire afternoon, the 75 recipes featured in Vegetarian Dinner's in the Oven are healthy, simple, and require minimal prep and cleanup. Easily prepared in one pan, these vegetarian and vegan recipes are organi
Autor:
Rukmini Iyer
“Offers fresh takes on sheet-pan suppers... Bold visuals and wide-ranging recipes are highlights of this low-prep, low-cleanup title.” —Library Journal Fresh, simple, delicious... and simple! This vibrant cookbook is a comprehensive guide to cr
Autor:
Erick Cantú-Paz, Rukmini Iyer, Hema Raghavan, Chris Leggetter, Dustin Hillard, Eren Manavoglu
Publikováno v:
Information Retrieval. 14:315-336
The critical task of predicting clicks on search advertisements is typically addressed by learning from historical click data. When enough history is observed for a given query-ad pair, future clicks can be accurately modeled. However, based on the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d053e9dd3c3b06008eb8c67a06a84b7
https://doi.org/10.1007/s10791-010-9152-6
https://doi.org/10.1007/s10791-010-9152-6
Autor:
Mari Ostendorf, Rukmini Iyer
Publikováno v:
Computer Speech & Language. 13:267-282
Standard statistical language modeling techniques suffer from sparse-data problems in tasks where large amounts of domain-specific text are not available. In this paper, we focus on improving the estimation of domain-dependent n -gram models by the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cb1b35fce51cea9f0b6471429226673
https://doi.org/10.1006/csla.1999.0124
https://doi.org/10.1006/csla.1999.0124
Autor:
Mari Ostendorf, Rukmini Iyer
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 7:30-39
Standard statistical language models use n-grams to capture local dependencies, or use dynamic modeling techniques to track dependencies within an article. In this paper, we investigate a new statistical language model that captures topic-related dep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a66c2ff09233aa030bde9d88bce94c22
https://doi.org/10.1109/89.736328
https://doi.org/10.1109/89.736328
Publikováno v:
ICASSP
Logs of user queries from a search engine (such as Bing or Google) together with the links clicked provide valuable implicit feedback to improve statistical spoken language understanding (SLU) models. However, the form of natural language utterances
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df1fdf95aa20931c7f7e563d05346a2
https://doi.org/10.1109/icassp.2012.6289031
https://doi.org/10.1109/icassp.2012.6289031
Autor:
Gokhan Tur, Larry Heck, Dilek Hakkani-Tur, Dustin Hillard, Asli Celikyilmaz, Rukmini Iyer, Sarangarajan Parthasarathy, Ashley Fidler
Publikováno v:
ASRU
Logs of user queries from a search engine (such as Bing or Google) together with the links clicked provide valuable implicit feedback to improve statistical spoken language understanding (SLU) models. In this work, we propose to enrich the existing c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7e2fee22ffb5b47525ac93afed3d3ef
https://doi.org/10.1109/asru.2011.6163968
https://doi.org/10.1109/asru.2011.6163968
Autor:
Hema Raghavan, Rukmini Iyer
Publikováno v:
CIKM
Information retrieval in search advertising, as in other ad-hoc retrieval tasks, aims to find the most appropriate ranking of the ad documents of a corpus for a given query. In addition to ranking the ad documents, we also need to filter or threshold
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d58421a5ea47fbe63f84d71dc9211a6e
https://doi.org/10.1145/1871437.1871567
https://doi.org/10.1145/1871437.1871567
Publikováno v:
KDD Workshop on Data Mining and Audience Intelligence for Advertising
Much search engine revenue comes from sponsored search ads displayed with algorithmic search results. To maximize revenue, it is essential to choose a good slate of ads for each query, requiring accurate prediction of whether or not users will click
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a1add0fc94d213b957407e61427b555
https://doi.org/10.1145/1592748.1592755
https://doi.org/10.1145/1592748.1592755