Randomized Legal Experimentation

Back from experimentation : A study of learning bias in LEGAL - E

This paper studies the computational complexity of the similarity based learning system LEGAL-E. LEGAL-E uses learning parameters to build a join-semi-lattice that characterizes a concept materialized by a set of instances described with binary attributes. LEGAL-E was successfully applied to real problems in diierent domains. However dif-culties remain in the choice of learning parameters. This...

Exploratory Experimentation and Computation 1. Exploratory Experimentation

I believe our research community is facing a great challenge to re-evaluate the role of proof in light of the growing power of current computer systems, of modern mathematical computing packages, and of the growing capacity to data-mine on the Internet. Add to that the enormous complexity of many modern capstone results such as the Poincaré conjecture, Fermat's last theorem, and the Classificat...

GIR Experimentation

Geographic Information Retrieval (GIR) community has generally accepted the thesis that both thematic and geographic aspect of documents are useful for GIR. This paper describes a preliminary experiment exploring this thesis by seperately index-ing/searching geographical relevant-terms (place names, geo-spatial relations, geographic concepts and geographic adjacetives) extracted from reference ...

Quasi - Experimentation

Autonomous Experimentation

Characterising response behaviours of biological systems is impaired by limited resources that restrict the exploration of high dimensional parameter spaces. Additionally, experimental errors that provide observations not representative of the true underlying behaviour, mean that observations obtained from these experiments cannot be regarded as always valid. To combat the problem of erroneous ...