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Set function learning has emerged as a crucial area in machine learning, addressing the challenge of modeling functions that take sets as inputs. Unlike traditional machine learning that involves fixed-size input vectors where the order of features ...

Identifying the targets of hate speech is a crucial step in grasping the nature of such speech and, ultimately, improving the detection of offensive posts on online forums. Much harmful content on online platforms uses implicit language -- especially ...

This paper examines stocking decisions in the presence of catastrophic disruptions, which are different in nature from operational risks as their likelihood is low but their consequences could be devastating. Motivated by the rising frequency of ...

Large-scale recommender systems usually contain hundreds of multi-valued feature fields, which have different number of values in each field. For easier computation in traditional fixed-shape neural networks, pooling operators are widely used to compress ...

Problem definition: Energy storage has become an indispensable part of power distribution systems, necessitating prudent investment decisions. We analyze an energy storage facility location problem and compare the benefits of centralized storage (adjacent ...

Creating test collections for offline retrieval evaluation requires human effort to judge documents' relevance. This expensive activity motivated much work in developing methods for constructing benchmarks with fewer assessment costs. In this respect, ...

The present study leverages a recent opportunity we had to create a new English web search test collection for the NTCIR-16 We Want Web (WWW-4) task, which concluded in June 2022. More specifically, through the test collection construction effort, we ...

A seller wants to sell an indivisible item to n buyers. The buyer valuations are drawn i.i.d. from a distribution, but the seller does not know this distribution; the seller only knows the support [a, b]. To be robust against the lack of knowledge of ...

To Pool or Not to Pool? Analyzing Customer-Intensive Services with Strategic Agents

In customer-intensive services where service quality increases with service time, service providers commonly pool their agents and give performance bonuses that reward ...

In customer-intensive services where service quality increases with service time, service providers commonly pool their agents and give performance bonuses that reward agents for achieving greater customer satisfaction and serving more customers. ...

The rapid development of information technology has also brought new vitality to art design. The 3D animation model making is a new multimedia technology based on computer technology. In order to efficiently organise and utilise the 3D model resources, ...

Appointment schedules, in essence, balance supply and demand and are often employed in settings where resources are scarce and thus a high utilization is realized (e.g., healthcare). Whereas most of the existing literature focuses on the single-server ...

This document examines five performance questions which are repeatedly asked by practitioners in industry: (i) My system utilization is very low, so why are job delays so high? (ii) What should I do to lower job delays? (iii) How can I favor short jobs ...

Every year, nearly 5,000 patients die while waiting for kidney transplants, and yet an estimated 3,500 procured kidneys are discarded. Such a polarized coexistence of dire scarcity and massive wastefulness has been mainly driven by insufficient pooling of ...

In the context of depth-k pooling for constructing web search test collections, we compare two approaches to ordering pooled documents for relevance assessors: The prioritisation strategy (PRI) used widely at NTCIR, and the simple randomisation strategy (...

Social networks constitute a valuable source for documenting heritage constitution processes or obtaining a real-time snapshot of a cultural heritage research topic. Many heritage researchers use social networks as a social thermometer to study these ...

In IR evaluation based on depth-k pooling, there are several strategies to order the pooled documents for relevance assessors. Among them, the simplest approach is to completely randomise the order "so assessors cannot tell if a document was highly ...

Information Retrieval is an area where evaluation is crucial to validate newly proposed models. As the first step in the evaluation of models, researchers carry out offline experiments on specific datasets. While the field started around ad-hoc search, ...

As deep learning based models are increasingly being used for information retrieval, a major challenge is to ensure the availability of test collections for measuring their quality. Test collections are usually generated based on pooling results of ...

Successes of deep learning are partly due to appropriate selection of activation function, pooling functions, etc. Most of these choices have been made based on empirical comparison and heuristic ideas. In this paper, we show that many of these choices -...

Due to the wide acceptance of White Blood Cells (WBCs) in disease diagnosis, detection and classification of WBC are hot topic. Existing methodologies have some drawbacks such as significant degree of error, higher accuracy, time bound and higher ...