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ISMB
1994
13 years 6 months ago
Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures
Thispaperdescribesthe applicationof the Inductive Logic Programming0LP) program GOLEMto the discoveryof constraintsin the packingof beta-sheets in alpha/betaproteins. Theseconstra...
Ross D. King, Dominic A. Clark, Jack Shirazi, Mich...
ILP
1998
Springer
13 years 9 months ago
Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure
Abstract. Inductive Logic Programming (ILP) has been applied to discover rules governing the three-dimensional topology of protein structure. The data-set unifies two sources of in...
Marcel Turcotte, Stephen Muggleton, Michael J. E. ...
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 5 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
BMCBI
2004
138views more  BMCBI 2004»
13 years 4 months ago
Constraint Logic Programming approach to protein structure prediction
Background: The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information ...
Alessandro Dal Palù, Agostino Dovier, Feder...
EH
1999
IEEE
351views Hardware» more  EH 1999»
13 years 9 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...