• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 161 matches

• 2022
• 
  Myeongjun Jang, Pilsung Kang:
  Sentence transition matrix: An efficient approach that preserves sentence semantics. Comput. Speech Lang. 71: 101266 (2022)
• 
  Cong Zhang, Jiahu Qin, Qichao Ma, Yang Shi, Yu Kang:
  On Containment for Linear Systems With Switching Topologies: A Novel State Transition Matrix Perspective. IEEE Trans. Cybern. 52(2): 1061-1072 (2022)
• 
  Zhaowei Zhu, Jialu Wang, Yang Liu:
  Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. CoRR abs/2202.01273 (2022)
• 
  Yang Liu:
  Identifiability of Label Noise Transition Matrix. CoRR abs/2202.02016 (2022)
• 
  Jaemin Yoo, Lee Sael:
  Transition Matrix Representation of Trees with Transposed Convolutions. CoRR abs/2202.10677 (2022)
• 2021
• 
  Yushan Qiu, Wai-Ki Ching, Quan Zou:
  Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial-mesenchymal transition. Briefings Bioinform. 22(6) (2021)
• 
  Yushan Qiu, Wai-Ki Ching, Quan Zou:
  Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion. Briefings Bioinform. 22(5) (2021)
• 
  Takashi Komatsu, Norio Konno, Iwao Sato:
  A Characteristic Polynomial for the Transition Probability Matrix of Correlated Random Walks on a Graph. Electron. J. Comb. 28(4) (2021)
• 
  Norio Konno, Iwao Sato, Etsuo Segawa:
  A zeta function related to the transition matrix of the discrete-time quantum walk on a graph. Discret. Math. 344(7): 112412 (2021)
• 
  Dongdong Xie, Donghong Ji, Hao Tang, Qiji Zhou:
  Match matrix aggregation enhanced transition-based neural network for SQL parsing. Neurocomputing 445: 167-179 (2021)
• 
  Luciana Balieiro Cosme, Marcos Flávio Silveira Vasconcelos D'Angelo, Walmir Matos Caminhas, Murilo C. O. Camargos, Reinaldo Martinez Palhares:
  An adaptive approach for estimation of transition probability matrix in the interacting multiple model filter. J. Intell. Fuzzy Syst. 41(1): 155-166 (2021)
• 
  Hafsa Iqbal, Damian Campo, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
  Data-driven transition matrix estimation in probabilistic learning models for autonomous driving. Signal Process. 188: 108170 (2021)
• 
  Guo Xie, Lanlan Sun, Tao Wen, Xinhong Hei, Fucai Qian:
  Adaptive Transition Probability Matrix-Based Parallel IMM Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 2980-2989 (2021)
• 
  Yivan Zhang, Gang Niu, Masashi Sugiyama:
  Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization. ICML 2021: 12501-12512
• 
  Yivan Zhang, Gang Niu, Masashi Sugiyama:
  Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization. CoRR abs/2102.02414 (2021)
• 
  Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
  Estimating Instance-dependent Label-noise Transition Matrix using DNNs. CoRR abs/2105.13001 (2021)
• 
  Chongzhi Wang, Haibin Shao, Dewei Li:
  Independent dimensional phase transition on a two-dimensional Kuramoto model with matrix coupling. CoRR abs/2108.11652 (2021)
• 
  Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng:
  Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. CoRR abs/2110.08866 (2021)
• 
  Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang:
  Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection. CoRR abs/2111.14932 (2021)
• 2020
• 
  Changhai Wang, Bo Wang, Hui Liang, Jianzhong Zhang, Wanwei Huang, Wangwei Zhang:
  W-Trans: A Weighted Transition Matrix Learning Algorithm for the Sensor-Based Human Activity Recognition. IEEE Access 8: 72870-72880 (2020)
• 
  Hendrik Baumann, Thomas Hanschke:
  Computation of Invariant Measures and Stationary Expectations for Markov Chains with Block-Band Transition Matrix. J. Appl. Math. 2020: 4318906:1-4318906:16 (2020)
• 
  Zhou Yang, Heli Sun, Jianbin Huang, Zhongbin Sun, Hui Xiong, Shaojie Qiao, Ziyu Guan, Xiaolin Jia:
  An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization. IEEE Trans. Knowl. Data Eng. 32(2): 203-217 (2020)
• 
  Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
  Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph. IEEE BigData 2020: 916-923
• 
  Gurdeep Saini, Naveen Yadav, Biju R. Mohan, Nagaraj Naik:
  Time Series Forecasting Using Markov Chain Probability Transition Matrix with Genetic Algorithm Optimisation. CoMSO 2020: 439-451
• 
  Zhehao Zhou, Shenbao Yu, Jiewen Guan, Bilian Chen, Langcai Cao:
  Modeling Transition Matrix for a Collaborative Rating Prediction Recommendation System via Nonnegative Tensor Decomposition. ICCSE 2020: 211-216
• 
  Xianbin Lv, Dongxian Wu, Shu-Tao Xia:
  Matrix Smoothing: A Regularization For Dnn With Transition Matrix Under Noisy Labels. ICME 2020: 1-6
• 
  Francis Quinby, Seyeon Kim, Sohee Kang, Marco Pollanen, Michael G. Reynolds, Wesley S. Burr:
  Markov Transition Matrix Analysis of Mathematical Expression Input Models. ICMS 2020: 451-461
• 
  Jean Barbier, Nicolas Macris, Cynthia Rush:
  All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation. NeurIPS 2020
• 
  Zhenyu Liao, Romain Couillet, Michael W. Mahoney:
  A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent. NeurIPS 2020
• 
  Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama:
  Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning. NeurIPS 2020

skipping 131 more matches