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01/30/2023
CSDR-BERT: a pre-trained scientific dataset match model for Chinese Scientific Dataset Retrieval
As the number of open and shared scientific datasets on the Internet inc...
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01/19/2023
FE-TCM: Filter-Enhanced Transformer Click Model for Web Search
Constructing click models and extracting implicit relevance feedback inf...
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12/16/2022
On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study
It is well established in neuroscience that color vision plays an essent...
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10/23/2022
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution
Supply chain management (SCM) has been recognized as an important discip...
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12/27/2021
Technical and Mathematical Foundations of Information Systems Dynamics
ThThis paper reviews and summarizes the main process of the close combin...
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12/25/2020
Whom to Test? Active Sampling Strategies for Managing COVID-19
This paper presents methods to choose individuals to test for infection ...
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09/13/2020
Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach
Online healthcare communities provide users with various healthcare inte...
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02/25/2018
Dynamic Bidding for Advance Commitments in Truckload Brokerage Markets
Truckload brokerages, a 100 billion/year industry in the U.S., plays the...
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09/13/2017
Optimal Learning for Sequential Decision Making for Expensive Cost Functions with Stochastic Binary Feedbacks
We consider the problem of sequentially making decisions that are reward...
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07/06/2016
An optimal learning method for developing personalized treatment regimes
A treatment regime is a function that maps individual patient informatio...
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10/09/2015
Functional Frank-Wolfe Boosting for General Loss Functions
Boosting is a generic learning method for classification and regression....
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10/08/2015
The Knowledge Gradient with Logistic Belief Models for Binary Classification
We consider sequential decision making problems for binary classificatio...
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08/06/2015