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» Abstract and Discrete Modeling of Spatio-Temporal Data Types
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COLT
2005
Springer
14 years 1 months ago
A PAC-Style Model for Learning from Labeled and Unlabeled Data
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
Maria-Florina Balcan, Avrim Blum
BIRTHDAY
2004
Springer
13 years 11 months ago
On Model Checking Data-Independent Systems with Arrays with Whole-Array Operations
Abstract. We consider programs which are data independent with respect to two type variables X and Y , and can in addition use arrays indexed by X and storing values from Y . We ar...
Ranko Lazic, Thomas Christopher Newcomb, A. W. Ros...
ACISICIS
2007
IEEE
14 years 1 months ago
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Gerhard Visser, David L. Dowe
JAR
2008
89views more  JAR 2008»
13 years 7 months ago
An Extensible Encoding of Object-oriented Data Models in hol
Abstract We present an extensible encoding of object-oriented data models into higherorder logic (HOL). Our encoding is supported by a datatype package that leverages the use of th...
Achim D. Brucker, Burkhart Wolff
ECOOP
2008
Springer
13 years 9 months ago
Extensible Universes for Object-Oriented Data Models
Abstract We present a datatype package that enables the shallow embedding technique to object-oriented specification and programming languages. This datatype package incrementally ...
Achim D. Brucker, Burkhart Wolff