Incremental Multiple Classi er Active Learning for Concept
Kuo-Tien Lee et al MMM 2011 - International Jan 2011, Taipei, Taiwan Springer Berlin, 6523, pp 240- Active Learning is a special case of machine
Application of linear magnetic gears for pseudo-direct-drive
The IEEE International Magnetic Conference (INTERMAG2011), Taipei, Taiwan, 25-29 April 2011 In IEEE Transactions on OCTOBER 2011 Fig 4 Proposed machine system
Tsung-Yu Lin
MMM 2011, Taipei, Taiwan Technical reports and preprints (non peer-reviewed) 1 Implicit Sparse Code Hashing Tsung-Yu Lin, Tsung-Wei Ke and Tyng-Luh Liu arXiv:1512 00130, 2015 PROFESSIONAL SERVICE Conference and Journal Reviewing Computer Vision and Pattern Recognition (CVPR 2018, 2019, 2020) International Conference on Computer Vision (ICCV
Game Theory-Based Opponent Modeling in Large Imperfect
Game Theory-Based Opponent Modeling in Large Imperfect-Information Games Sam Ganzfried and Tuomas Sandholm Computer Science Department Carnegie Mellon University
A modified support vector machine based prediction model on
May 12, 2009 · INTERNATIONAL JOURNAL OF CLIMATOLOGY Int J Climatol 30: 1256–1268 (2010) Published online 12 May 2009 in Wiley InterScience (www interscience wiley com) DOI: 10 1002/joc 1954 A modified support vector machine based prediction model on streamflow at the Shihmen Reservoir, Taiwan
Using Aspiration Adaptation Theory to Improve Learning
sibilities [1] Pardoe and Stone used machine learning tech-niques to create a trading agent to predict the likelihood that a person would accept a given bid price [11] How-ever, a key methodology difierence exists between these and works similar to ours While previous works typically used existing machine learning algorithms, our goal is to
Maximum Causal Entropy Correlated Equilibria for Markov Games
Motivated by a machine learning perspectivethat game-theoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal entropy correlated equilibria (MCECE), a novel solution concept for general-sum Markov games In line with this perspective, a MCECE strategy pro le is a uniquely-de ned
On the quality and complexity of Pareto equilibria in the Job
The processing time of job k on machine M i is then pik = p k s i If pjk = pj 0 k = pk for each job k and machines M i and M i0, the machines are called identical (in which case it is typically assumed the all speed are equal to 1) An assignment or schedule is a function A : J M The load of machine M i, which is also called the delay of
A style controller for generating virtual human behaviors
conditional Restricted Boltzmann Machine (HFCRBM), is a modification of the factored conditional Restricted Boltz-mann Machine (FCRBM) [16] that has additional hierarchi-cal structure The HFCRBM includes a middle hidden layer for a new form of style interpolation Our style interpolation algorithm, called the multi-path model, performs the style
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