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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 3 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
AOSD
2006
ACM
14 years 1 months ago
Reflections on aspects and configurable protocols
The goals of aspect oriented software development (AOSD) and frameworks for configurable protocols (CPs) are similar in many respects. AOSD allows the specification of crosscuttin...
Matti A. Hiltunen, François Taïani, Ri...
AAAI
2008
14 years 4 days ago
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
Xiaofeng Yu, Wai Lam
ACL
2003
13 years 11 months ago
Fast Methods for Kernel-Based Text Analysis
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
Taku Kudo, Yuji Matsumoto
NIPS
2001
13 years 11 months ago
Constructing Distributed Representations Using Additive Clustering
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...
Wheeler Ruml