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Learning Qualitative Structure Activity Relationships (QSARs) for Pyrimidine and Triazine Compounds (QSARs)
Type: ILPCategory: Molecular Biology Structure activity relationships (SAR) describe empirically derived relationships between the chemical structure and the activity of considered drugs. In a typical SAR problem a set of chemicals of known stucture and activity are given, and the goal is to construct a predictive theory relating the structure of a component to its activity. Both available datasets described in [King 92, King 95] ... [more info] M & K data
Type: ILPCategory: Language This dataset has been used for construction of semantic grammars. This is a difficult and interesting problem which has been treated by machine learning techniques recently [Zelle 93]. In the mentioned approach the semantic-grammar acquisition problem is viewed as learning of search-control heuristics. Appropriate control rules are learned using a new first-order induction algorithm that ... [more info] King-Rook-King (exact data) (KRK)
Type: ILPCategory: Chess The data provided here concern the chess endgame KRK with three pieces left on the chess board: White King, White Rook and Black King. The problem of learning rules for recognising illegal positions when it is white's turn to move (WTM) was first proposed by [Muggleton S.H., Bain M.E., Hayes-Michie J. and Michie D. (1989)]. This has since become a widely accepted test-bed for ILP systems. The ... [more info] Repository of online Information Sources used in information Extraction tasks (RISE)
Type: Doc. collectionCategory: Information Extraction ... [more info] Learning Relational Concepts from Sensor Data of Mobile Robots (BLEARN)
Type: ILPCategory: Modelling, Diagnosis, Control This set of datasets provides the results of experiments with a real mobile robot described in detail e.g. in [Klingspor 96, Morik 93]. Data have been collected with the goal to learn abstract operational concepts, e.g. robot "moves along a wall", from sequences of sonar sensor measurements and robot actions. Each dataset is represented in the first order logic, when the following restrictions ... [more info] UTUBE
Type: ILPCategory: Modelling, Diagnosis, Control The dataset is intended to learn a QSIM type qualitative model of two connected containerns - a dynamic system, known also as the U-tube. The target predicate legalstate/4 has as arguments the qualitative values of the four system variables (water levels and their rates of change for each of the two containers). Positive facts corresponding to this predicate describe the states that appear in a ... [more info] Mutagenesis
Type: ILPCategory: Molecular Biology The prediction of mutagenesis is important as it is relevant to understanding and prediction of carcinogenesis. Not all compounds can be empirically tested for mutagenesis, e.g. antibiotics. The considered data have been collected with the intention to search for a method how to predict the mutagenicity of a set of 230 aromatic and heteroaromatic nitro compounds, the dataset is based on the ... [more info] Proteins
Type: ILPCategory: Molecular Biology Predicting the secondary structure (three-dimensional shape) of proteins from their amino acid sequence (primary structure) is widely believed to be one of the hardest unsolved problems in molecular biology. The amino acids can be arranged in different patterns (spirals, turns, flat sections etc.) which are of considerable interest to pharmaceutical companies since a protein's shape generally ... [more info] Drugs
Type: ILPCategory: Molecular Biology Low toxicity is a conditio sine qua non when searching for a new drug treatment of any disease. Following specific properties are considered as essential in the case of Alzheimer's disease:
drugs
Type: ILPCategory: Molecular Biology Suramin analogues act as anti-cancer agents by interfering with the formation of blood vessels for the tumor. Using the atomic structure and bond relationships present in suramin compounds, the task for an ILP system is to discover structural features that can be used to improve such compounds. Formally, this goal is closely related to the problem studied in connection with the Alzheimer's ... [more info] Displaying 1 - 10 of 43 1 2 3 4
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MLNet
- Machine Learning Network Online Information System
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