emission
发表于 2025-3-28 16:54:17
Conference proceedings 2001ra, Portugal; 1997 in Providence, Rhode Island (USA); 1999 in Seeon, Germany), was held during 30 July – 2 August 2001 in Vancouver, Canada. ICCBR is the premier international forum for researchers and practitioners of case based reasoning (CBR). The objectives of this meeting were to nurture signif
Occlusion
发表于 2025-3-28 21:04:22
Carl A. Goresky,Harry L. Goldsmithmers and whether a single or multiple retrievals were permitted. The experimental results suggest that the return set that optimizes benefit may be smaller for customer populations with little variation than for customer populations with wide variation.
LITHE
发表于 2025-3-29 01:54:21
D. T. Delpy,D. Parker,D. N. Halsalltion. It also presents our ongoing research on automatically deriving abstract indexing concepts from legal case texts. We report progress toward integrating IE techniques and ML for generalizing from case texts to our CBR case representation.
Enteropathic
发表于 2025-3-29 03:04:15
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nonplus
发表于 2025-3-29 07:20:50
Ryuichiro Araki,Ichiro Nashimotoonly be useful if it offers insights into the ACF process and supports a transfer of techniques. In conclusion we present a case retrieval net model of ACF and show how it allows for enhancements to the basic ACF idea.
大雨
发表于 2025-3-29 11:30:07
Acquiring Customer Preferences from Return-Set Selectionsmers and whether a single or multiple retrievals were permitted. The experimental results suggest that the return set that optimizes benefit may be smaller for customer populations with little variation than for customer populations with wide variation.
Asperity
发表于 2025-3-29 18:15:03
The Role of Information Extraction for Textual CBRtion. It also presents our ongoing research on automatically deriving abstract indexing concepts from legal case texts. We report progress toward integrating IE techniques and ML for generalizing from case texts to our CBR case representation.
上涨
发表于 2025-3-29 20:18:58
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裁决
发表于 2025-3-30 02:21:45
A Case-Based Reasoning View of Automated Collaborative Filteringonly be useful if it offers insights into the ACF process and supports a transfer of techniques. In conclusion we present a case retrieval net model of ACF and show how it allows for enhancements to the basic ACF idea.
切割
发表于 2025-3-30 05:22:15
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