resgtholpadi.blogspot.com

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Wednesday, October 1, 2014. Relation between precision and recall in binary classification. We want to show that $P'$ increases with $R$, and $R'$ increases with $P$ (and hence analyzing the performance of any one class is sufficient). We use $ P'= frac{N-(tp fp)-fn}{N-(tp fp)} = 1 - frac{fn}{N-(tp fp)}$ , and. A similar relation holds between $P$ and $R'$ by symmetry between the two classes. Links to this post. Tuesday, July 16, 2013. Language Models for Keyword Search over Data Graphs. The graph is pro...

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Wednesday, October 1, 2014. Relation between precision and recall in binary classification. We want to show that $P'$ increases with $R$, and $R'$ increases with $P$ (and hence analyzing the performance of any one class is sufficient). We use $ P'= frac{N-(tp fp)-fn}{N-(tp fp)} = 1 - frac{fn}{N-(tp fp)}$ , and. A similar relation holds between $P$ and $R'$ by symmetry between the two classes. Links to this post. Tuesday, July 16, 2013. Language Models for Keyword Search over Data Graphs. The graph is pro...

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Research Notes | resgtholpadi.blogspot.com Reviews

https://resgtholpadi.blogspot.com

Wednesday, October 1, 2014. Relation between precision and recall in binary classification. We want to show that $P'$ increases with $R$, and $R'$ increases with $P$ (and hence analyzing the performance of any one class is sufficient). We use $ P'= frac{N-(tp fp)-fn}{N-(tp fp)} = 1 - frac{fn}{N-(tp fp)}$ , and. A similar relation holds between $P$ and $R'$ by symmetry between the two classes. Links to this post. Tuesday, July 16, 2013. Language Models for Keyword Search over Data Graphs. The graph is pro...

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resgtholpadi.blogspot.com

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Research Notes: October 2014

http://www.resgtholpadi.blogspot.com/2014_10_01_archive.html

Wednesday, October 1, 2014. Relation between precision and recall in binary classification. We want to show that $P'$ increases with $R$, and $R'$ increases with $P$ (and hence analyzing the performance of any one class is sufficient). We use $ P'= frac{N-(tp fp)-fn}{N-(tp fp)} = 1 - frac{fn}{N-(tp fp)}$ , and. A similar relation holds between $P$ and $R'$ by symmetry between the two classes. Links to this post. Subscribe to: Posts (Atom). Relation between precision and recall in binary cl.

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Research Notes: February 2013

http://www.resgtholpadi.blogspot.com/2013_02_01_archive.html

Monday, February 11, 2013. Comparison of Semantic Similarity for Different Languages Using the Google n-gram Corpus and Second-Order Co-occurrence Measures. Colette Joubarne, Diana Inkpen. Advances in AI 2011. Many languages without sufficient corpora to achieve valid measures of semantic similarity. Manually-assigned similarity scores from one language can be transferred to another language,. Enable similarity estimation across multiple ontologies. Both concepts appear in one ontology. General purpose a...

3

Research Notes: June 2013

http://www.resgtholpadi.blogspot.com/2013_06_01_archive.html

Sunday, June 30, 2013. Cross-Lingual Latent Topic Extraction. Duo Zhang, Qiaozhu Mei, ChengXiang Zhai. ACL 2010. Input: unaligned document sets in two languages, a bilingual dictionary. A set of aligned topics (word distributions) in the two languages, that can characterize the shared topics. A topic coverage distribution for each language (coverage of each topic in that language). Start with ML objective of PLSA. Add a term to incorporate dictionary constraints (DC). Links to this post.

4

Research Notes

http://www.resgtholpadi.blogspot.com/2013/06/cross-lingual-latent-topic-extraction.html

Sunday, June 30, 2013. Cross-Lingual Latent Topic Extraction. Duo Zhang, Qiaozhu Mei, ChengXiang Zhai. ACL 2010. Input: unaligned document sets in two languages, a bilingual dictionary. A set of aligned topics (word distributions) in the two languages, that can characterize the shared topics. A topic coverage distribution for each language (coverage of each topic in that language). Start with ML objective of PLSA. Add a term to incorporate dictionary constraints (DC). Subscribe to: Post Comments (Atom).

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Research Notes

http://www.resgtholpadi.blogspot.com/2013/04/statistical-extraction-and-comparison.html

Thursday, April 25, 2013. Statistical Extraction and Comparison of Pivot Words for Bilingual Lexicon Extension. Daniel Andrade, Takuya Matsuzaki, Jun'ichi Tsuji. TALIP 2012. Use only statistically significant context- -determined using Bayesian estimate of PMI. Calculate a similarity score . using the probability that the same pivots [(words from the seed lexicon)] will be extracted for both the query word and the translation candidate.". Fix corpora in two languages, and pivot words (seed lexicon).

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resgtholpadi.blogspot.com

Research Notes

Wednesday, October 1, 2014. Relation between precision and recall in binary classification. We want to show that $P'$ increases with $R$, and $R'$ increases with $P$ (and hence analyzing the performance of any one class is sufficient). We use $ P'= frac{N-(tp fp)-fn}{N-(tp fp)} = 1 - frac{fn}{N-(tp fp)}$ , and. A similar relation holds between $P$ and $R'$ by symmetry between the two classes. Links to this post. Tuesday, July 16, 2013. Language Models for Keyword Search over Data Graphs. The graph is pro...

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