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» On learning algorithm selection for classification
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ACL
1998
15 years 8 months ago
General-to-Specific Model Selection for Subcategorization Preference
This paper proposes a novel method for learning probability models of subcategorization preference of verbs. We consider the issues of case dependencies and noun class generalizat...
Takehito Utsuro, Takashi Miyata, Yuji Matsumoto
KDD
2007
ACM
198views Data Mining» more  KDD 2007»
16 years 7 months ago
Applying Link-Based Classification to Label Blogs
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...
Smriti Bhagat, Graham Cormode, Irina Rozenbaum
HIS
2004
15 years 8 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
ATAL
2007
Springer
16 years 23 days ago
Negotiation partners selection mechanism based on context-dependent similarity relations
This paper proposes a context-dependent case-based mechanism for selecting negotiation partners with the focus on the adaptation of similarity relations to a specific context. Th...
Jakub Brzostowski, Ryszard Kowalczyk
COLT
2003
Springer
15 years 11 months ago
Internal Regret in On-Line Portfolio Selection
This paper extends the game-theoretic notion of internal regret to the case of on-line potfolio selection problems. New sequential investment strategies are designed to minimize th...
Gilles Stoltz, Gábor Lugosi