健壮
发表于 2025-3-28 16:11:20
Computationally Efficient Rule-Based Classification for Continuous Streaming Data these vast amounts of data as it is generated in real-time. Data stream classification is one of the most important DSM techniques allowing to classify previously unseen data instances. Different to traditional classifiers for static data, data stream classifiers need to adapt to concept changes (c
Bumptious
发表于 2025-3-28 19:34:22
Improved Stability of Feature Selection by Combining Instance and Feature Weightingess. Both types of weights are based on margin concepts and can therefore be naturally interlaced. We report experiments performed on both synthetic and real data (including microarray data) showing improvements in selection stability at a similar level of prediction performance.
讨厌
发表于 2025-3-29 01:10:01
Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classificationing approaches. The research area of Data Stream Mining (DSM) is developing data mining algorithms that allow us to analyse these continuous streams of data in real-time. The creation and real-time adaption of classification models from data streams is one of the most challenging DSM tasks. Current
genesis
发表于 2025-3-29 03:13:11
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纯朴
发表于 2025-3-29 07:30:04
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肥料
发表于 2025-3-29 13:13:31
Preference and Sentiment Guided Social Recommendations with Temporal Dynamicsome the accepted standard in the future. Social recommender systems that harness knowledge from user expertise and interactions to provide recommendation have great potential in capturing such trending information. In this paper, we model our recommender system using sentiment rich user generated pr
esculent
发表于 2025-3-29 16:10:01
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Preserve
发表于 2025-3-29 22:17:42
Benchmarking Grammar-Based Genetic Programming AlgorithmsIn order for these variants to be compared, the community requires a rigorous means for benchmarking the algorithms. However, GP as a field is not known for the quality of its benchmarking, with many identified problems, making direct comparisons either difficult or impossible in many cases. Aside f
FIN
发表于 2025-3-30 02:41:40
The Effects of Bounding Rationality on the Performance and Learning of CHREST Agents in Tileworldn and recall huge numbers of board configurations to produce near-optimal actions provides evidence that . mechanisms are likely to underpin human learning. Cognitive theories based on chunking argue in favour for the notion of bounded rationality since relatively small chunks of information are lea
有助于
发表于 2025-3-30 07:15:45
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