绝食 发表于 2025-3-23 09:43:11
Multi-interval Discretization of Continuous Attributes for Label Ranking,en a significant amount of work on the development of learning algorithms for LR in recent years, pre-processing methods for LR are still very scarce. However, some methods, like Naive Bayes for LR and APRIORI-LR, cannot deal with real-valued data directly. As a make-shift solution, one could considnocturia 发表于 2025-3-23 14:16:35
Identifying Super-Mediators of Information Diffusion in Social Networks,an important role in receiving the information and passing it to other nodes. We mathematically formulate this as a difference maximization problem in the average influence degree with respect to a node removal, ., a node that contributes to making the difference large is influential. We further cha神化怪物 发表于 2025-3-23 21:29:00
http://reply.papertrans.cn/29/2811/281051/281051_13.pngExcise 发表于 2025-3-23 23:23:52
http://reply.papertrans.cn/29/2811/281051/281051_14.png蜿蜒而流 发表于 2025-3-24 04:10:48
Mining Interesting Patterns in Multi-relational Data with N-ary Relationships,e a new pattern syntax for such data, develop an efficient algorithm for mining it, and define a suitable interestingness measure that is able to take into account prior information of the data miner. Our approach is a strict generalisation of prior work on multi-relational data in which relationshiEvolve 发表于 2025-3-24 08:22:19
Learning Hierarchical Multi-label Classification Trees from Network Data,ltiple classes at the same time and consider the hierarchical organization of the classes. It assumes that the instances are placed in a network and uses information on the network connections during the learning of the predictive model. Many real world prediction problems have classes that are orga高射炮 发表于 2025-3-24 13:02:35
http://reply.papertrans.cn/29/2811/281051/281051_17.pngOintment 发表于 2025-3-24 17:30:45
http://reply.papertrans.cn/29/2811/281051/281051_18.png思考才皱眉 发表于 2025-3-24 21:48:54
Fast Compression of Large-Scale Hypergraphs for Solving Combinatorial Problems,ses multikey Quicksort given by Bentley and Sedgewick. By conducting experiments with various datasets, we show that our algorithm is significantly faster and requires much smaller memory than an existing method.poliosis 发表于 2025-3-25 02:33:23
Discovery Science978-3-642-40897-7Series ISSN 0302-9743 Series E-ISSN 1611-3349