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Publication search results
found 30 matches
- 2024
- Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He:
Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. 145: 109917 (2024) - 2023
- Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao:
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14337-14352 (2023) - Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin:
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8888-8901 (2023) - Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury:
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 4(8): 100822 (2023) - Jing Liu, Yang Liu, Wei Zhu, Xiaoguang Zhu, Liang Song:
Distributional and spatial-temporal robust representation learning for transportation activity recognition. Pattern Recognit. 140: 109568 (2023) - Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu:
Source-free and black-box domain adaptation via distributionally adversarial training. Pattern Recognit. 143: 109750 (2023) - Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, Shirui Wang, Zhu Han:
Active Gamma-Ray Log Pattern Localization With Distributionally Robust Reinforcement Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - 2022
- Rui Feng, Congcong Yang, Yunhua Qu:
A Word Embedding Model for Analyzing Patterns and Their Distributional Semantics. J. Quant. Linguistics 29(1): 80-105 (2022) - Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan:
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4052-4064 (2022) - Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury:
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 3(8): 100568 (2022) - Dong Wook Shu, Sung Woo Park, Junseok Kwon:
Wasserstein distributional harvesting for highly dense 3D point clouds. Pattern Recognit. 132: 108978 (2022) - Esteban G. Tabak, Giulio Trigila, Wenjun Zhao:
Distributional barycenter problem through data-driven flows. Pattern Recognit. 130: 108795 (2022) - Henry Soldano, Guillaume Santini, Stella Zevio:
Closed pattern mining of interval data and distributional data. CoRR abs/2212.04849 (2022) - 2018
- Marina Solnyshkina, Vladimir Ivanov, Valery D. Solovyev:
Characterizing Text Complexity with Core Vocabulary Distributional Patterns: Corpus-based Approach. AIST (Supplement) 2018: 110-117 - 2017
- Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. CoRR abs/1711.03226 (2017) - 2016
- Stephen Roller, Katrin Erk:
Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment. EMNLP 2016: 2163-2172 - Stephen Roller, Katrin Erk:
Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment. CoRR abs/1605.05433 (2016) - 2015
- Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Combining Pattern-Based and Distributional Similarity for Graph-Based Noun Categorization. NLDB 2015: 64-72 - 2013
- Gwendolijn Schropp, Els Lefever, Véronique Hoste:
A Combined Pattern-based and Distributional Approach for Automatic Hypernym Detection in Dutch. RANLP 2013: 593-600 - 2011
- Liang-Chih Yu, Chien-Lung Chan, Chao-Cheng Lin, I-Chun Lin:
Mining association language patterns using a distributional semantic model for negative life event classification. J. Biomed. Informatics 44(4): 509-518 (2011) - 2010
- Roberto Basili, Danilo Croce, Cristina Giannone, Diego De Cao:
Acquiring IE Patterns through Distributional Lexical Semantic Models. CICLing 2010: 512-524 - Shuming Shi, Huibin Zhang, Xiaojie Yuan, Ji-Rong Wen:
Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches. COLING 2010: 993-1001 - Roman Kurc, Maciej Piasecki, Stan Szpakowicz:
Automatic Acquisition of Wordnet Relations by Distributionally Supported Morphological Patterns Extracted from Polish Corpora. TSD 2010: 133-141 - 2008
- Bang-Bon Koo, Jong-Min Lee, June Sic Kim, Jun-Sung Park, Jun Soo Kwon, Sun I. Kim:
Assessing spatial probabilistic distributional differences in the common space between schizophrenics and normal controls based on a novel automated probabilistic pattern analysis method. Int. J. Imaging Syst. Technol. 18(5-6): 310-324 (2008) - Vasileios K. Pothos, Christos Theoharatos, Evangelos Zygouris, George Economou:
Distributional-based texture classification using non-parametric statistics. Pattern Anal. Appl. 11(2): 117-129 (2008) - Marco Loog:
On Distributional Assumptions and Whitened Cosine Similarities. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1114-1115 (2008) - Nobuhiro Kaji, Masaru Kitsuregawa:
Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering. COLING 2008: 401-408 - 2006
- Shachar Mirkin, Ido Dagan, Maayan Geffet:
Integrating Pattern-Based and Distributional Similarity Methods for Lexical Entailment Acquisition. ACL 2006 - Alejandro Figueroa, John Atkinson:
Using Syntactic Distributional Patterns for Data-Driven Answer Extraction from the Web. MICAI 2006: 985-995 - 2004
- Sanju Attoor, Edward R. Dougherty:
Classifier performance as a function of distributional complexity. Pattern Recognit. 37(8): 1641-1651 (2004)
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