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Online Combinatorial Assignment in Independence Systems
We consider an online multi-weighted generalization of several classic online optimization problems called the online combinatorial assignment...
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A reinforcement learning-based approach for online optimal control of self-adaptive real-time systems
This paper deals with self-adaptive real-time embedded systems (RTES). A self-adaptive system can operate in different modes. Each mode encodes a set...
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Truthful Matching with Online Items and Offline Agents
We study truthful mechanisms for welfare maximization in online bipartite matching. In our (multi-parameter) setting, every buyer is associated with...
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A DRL-based online VM scheduler for cost optimization in cloud brokers
The virtual machine (VM) scheduling problem in cloud brokers that support cloud bursting is fraught with uncertainty due to the on-demand nature of...
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Strongly adaptive online learning over partial intervals
To cope with changing environments, strongly adaptive algorithms that almost enjoy the optimal performance on every time interval have been proposed...
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Factitious or fact? Learning textual representations for fake online review detection
User reviews can play a big part in deciding a company's income in the e-commerce industry. Before making selections regarding any product or...
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Comparative study of machine learning algorithms for Kannada twitter sentimental analysis
Analyzing the client’s reviews from various online platform helps to improvise the business to higher levels. These User’s opinions can be analyzed...
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Ensemble successor representations for task generalization in offline-to-online reinforcement learning
In reinforcement learning (RL), training a policy from scratch with online experiences can be inefficient because of the difficulties in exploration....
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Negative link prediction to reduce dropout in Massive Open Online Courses
In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main...
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A Framework to Maximize Group Fairness for Workers on Online Labor Platforms
As the number of online labor platforms and the diversity of jobs on these platforms increase, ensuring group fairness for workers needs to be the...
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Deep learning-powered multimodal biometric authentication: integrating dynamic signatures and facial data for enhanced online security
The significant increase in online activities in the wake of recent global events has underlined the importance of biometric person authentication on...
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Sampling Algorithms
Nearly all of the data structures and algorithms we reviewed in the previous chapters are designed specifically for either nearest neighbor search or...
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Fast online multi-target multi-camera tracking for vehicles
Multi-target multi-camera tracking (MTMCT) for vehicles, which aims to track multiple vehicles across multi-camera environments, is crucial in...
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Online Coloring and a New Type of Adversary for Online Graph Problems
We introduce a new type of adversary for online graph problems thus allowing parametrized analysis of online algorithms with respect to a natural...
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Robust large-scale online kernel learning
The control-based approach has been proved to be effective for develo** robust online learning methods. However, the existing control-based kernel...
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Online Dominating Set and Coloring
In this paper, we present online deterministic algorithms for minimum coloring, minimum dominating set and its variants in the context of geometric...
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Online Bin Packing of Squares and Cubes
In the d -dimensional online bin packing problem, d -dimensional cubes of positive sizes no larger than 1 are presented one by one to be assigned to...
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Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms
Well-defined Hyper-Heuristics enhance the generalization of MOEAs and the blind usability on complex and even dynamic real-world application....
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An experimental evaluation of deep reinforcement learning algorithms for HVAC control
Heating, ventilation, and air conditioning (HVAC) systems are a major driver of energy consumption in commercial and residential buildings. Recent...
